{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import patsy as pt\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import statsmodels.formula.api as smf\n",
    "import statsmodels.api as sm\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn import linear_model\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.8 Lab: Non-Linear Modelling\n",
    "\n",
    "Load wage dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 284,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>age</th>\n",
       "      <th>maritl</th>\n",
       "      <th>race</th>\n",
       "      <th>education</th>\n",
       "      <th>region</th>\n",
       "      <th>jobclass</th>\n",
       "      <th>health</th>\n",
       "      <th>health_ins</th>\n",
       "      <th>logwage</th>\n",
       "      <th>wage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006</td>\n",
       "      <td>18</td>\n",
       "      <td>1. Never Married</td>\n",
       "      <td>1. White</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>1. Industrial</td>\n",
       "      <td>1. &lt;=Good</td>\n",
       "      <td>2. No</td>\n",
       "      <td>4.318063</td>\n",
       "      <td>75.043154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>24</td>\n",
       "      <td>1. Never Married</td>\n",
       "      <td>1. White</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>2. Information</td>\n",
       "      <td>2. &gt;=Very Good</td>\n",
       "      <td>2. No</td>\n",
       "      <td>4.255273</td>\n",
       "      <td>70.476020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2003</td>\n",
       "      <td>45</td>\n",
       "      <td>2. Married</td>\n",
       "      <td>1. White</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>1. Industrial</td>\n",
       "      <td>1. &lt;=Good</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>4.875061</td>\n",
       "      <td>130.982177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2003</td>\n",
       "      <td>43</td>\n",
       "      <td>2. Married</td>\n",
       "      <td>3. Asian</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>2. Information</td>\n",
       "      <td>2. &gt;=Very Good</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>5.041393</td>\n",
       "      <td>154.685293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005</td>\n",
       "      <td>50</td>\n",
       "      <td>4. Divorced</td>\n",
       "      <td>1. White</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>2. Information</td>\n",
       "      <td>1. &lt;=Good</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>4.318063</td>\n",
       "      <td>75.043154</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  age            maritl      race  education              region  \\\n",
       "0  2006   18  1. Never Married  1. White        1.0  2. Middle Atlantic   \n",
       "1  2004   24  1. Never Married  1. White        4.0  2. Middle Atlantic   \n",
       "2  2003   45        2. Married  1. White        3.0  2. Middle Atlantic   \n",
       "3  2003   43        2. Married  3. Asian        4.0  2. Middle Atlantic   \n",
       "4  2005   50       4. Divorced  1. White        2.0  2. Middle Atlantic   \n",
       "\n",
       "         jobclass          health health_ins   logwage        wage  \n",
       "0   1. Industrial       1. <=Good      2. No  4.318063   75.043154  \n",
       "1  2. Information  2. >=Very Good      2. No  4.255273   70.476020  \n",
       "2   1. Industrial       1. <=Good     1. Yes  4.875061  130.982177  \n",
       "3  2. Information  2. >=Very Good     1. Yes  5.041393  154.685293  \n",
       "4  2. Information       1. <=Good     1. Yes  4.318063   75.043154  "
      ]
     },
     "execution_count": 284,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wage_df = pd.read_csv('./data/Wage.csv')\n",
    "wage_df = wage_df.drop(wage_df.columns[0], axis=1)\n",
    "\n",
    "wage_df['education'] = wage_df['education'].map({'1. < HS Grad': 1.0, \n",
    "                                                 '2. HS Grad': 2.0, \n",
    "                                                 '3. Some College': 3.0,\n",
    "                                                 '4. College Grad': 4.0,\n",
    "                                                 '5. Advanced Degree': 5.0\n",
    "                                                })\n",
    "\n",
    "wage_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Polynomial regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 285,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Derive 4 degree polynomial features of age\n",
    "degree = 4\n",
    "f = ' + '.join(['np.power(age, {})'.format(i) for i in np.arange(1, degree+1)])\n",
    "X = pt.dmatrix(f, wage_df)\n",
    "y = np.asarray(wage_df['wage'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 286,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.086</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.085</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   70.69</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Sun, 14 Oct 2018</td> <th>  Prob (F-statistic):</th> <td>2.77e-57</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>17:48:26</td>     <th>  Log-Likelihood:    </th> <td> -15315.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>  3000</td>      <th>  AIC:               </th> <td>3.064e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>  2995</td>      <th>  BIC:               </th> <td>3.067e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     4</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "    <td></td>       <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th> <td> -184.1542</td> <td>   60.040</td> <td>   -3.067</td> <td> 0.002</td> <td> -301.879</td> <td>  -66.430</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>    <td>   21.2455</td> <td>    5.887</td> <td>    3.609</td> <td> 0.000</td> <td>    9.703</td> <td>   32.788</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>    <td>   -0.5639</td> <td>    0.206</td> <td>   -2.736</td> <td> 0.006</td> <td>   -0.968</td> <td>   -0.160</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x3</th>    <td>    0.0068</td> <td>    0.003</td> <td>    2.221</td> <td> 0.026</td> <td>    0.001</td> <td>    0.013</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x4</th>    <td>-3.204e-05</td> <td> 1.64e-05</td> <td>   -1.952</td> <td> 0.051</td> <td>-6.42e-05</td> <td> 1.45e-07</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>1097.594</td> <th>  Durbin-Watson:     </th> <td>   1.960</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>4965.521</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>           <td> 1.722</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>       <td> 8.279</td>  <th>  Cond. No.          </th> <td>5.67e+08</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The condition number is large, 5.67e+08. This might indicate that there are<br/>strong multicollinearity or other numerical problems."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.086\n",
       "Model:                            OLS   Adj. R-squared:                  0.085\n",
       "Method:                 Least Squares   F-statistic:                     70.69\n",
       "Date:                Sun, 14 Oct 2018   Prob (F-statistic):           2.77e-57\n",
       "Time:                        17:48:26   Log-Likelihood:                -15315.\n",
       "No. Observations:                3000   AIC:                         3.064e+04\n",
       "Df Residuals:                    2995   BIC:                         3.067e+04\n",
       "Df Model:                           4                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const       -184.1542     60.040     -3.067      0.002    -301.879     -66.430\n",
       "x1            21.2455      5.887      3.609      0.000       9.703      32.788\n",
       "x2            -0.5639      0.206     -2.736      0.006      -0.968      -0.160\n",
       "x3             0.0068      0.003      2.221      0.026       0.001       0.013\n",
       "x4         -3.204e-05   1.64e-05     -1.952      0.051   -6.42e-05    1.45e-07\n",
       "==============================================================================\n",
       "Omnibus:                     1097.594   Durbin-Watson:                   1.960\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             4965.521\n",
       "Skew:                           1.722   Prob(JB):                         0.00\n",
       "Kurtosis:                       8.279   Cond. No.                     5.67e+08\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The condition number is large, 5.67e+08. This might indicate that there are\n",
       "strong multicollinearity or other numerical problems.\n",
       "\"\"\""
      ]
     },
     "execution_count": 286,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fit linear model\n",
    "model = sm.OLS(y, X).fit()\n",
    "y_hat = model.predict(X)\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 287,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# STATS\n",
    "# ----------------------------------\n",
    "# Reference: https://stats.stackexchange.com/questions/44838/how-are-the-standard-errors-of-coefficients-calculated-in-a-regression\n",
    "\n",
    "# Covariance of coefficient estimates\n",
    "mse = np.sum(np.square(y_hat - y)) / y.size\n",
    "cov = mse * np.linalg.inv(X.T @ X)\n",
    "# ...or alternatively this stat is provided by stats models:\n",
    "#cov = model.cov_params()\n",
    "\n",
    "# Calculate variance of f(x)\n",
    "var_f = np.diagonal((X @ cov) @ X.T)\n",
    "# Derive standard error of f(x) from variance\n",
    "se       = np.sqrt(var_f)\n",
    "conf_int = 2*se\n",
    "\n",
    "# PLOT\n",
    "# ----------------------------------\n",
    "# Setup axes\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "# Plot datapoints\n",
    "sns.scatterplot(x='age', y='wage',\n",
    "                color='tab:gray',\n",
    "                alpha=0.2,\n",
    "                ax=ax,\n",
    "                data=pd.concat([wage_df['age'], wage_df['wage']], axis=1));\n",
    "\n",
    "# Plot estimated f(x)\n",
    "sns.lineplot(x=X[:, 1], y=y_hat, ax=ax, color='blue');\n",
    "\n",
    "# Plot confidence intervals\n",
    "sns.lineplot(x=X[:, 1], y=y_hat+conf_int, color='blue');\n",
    "sns.lineplot(x=X[:, 1], y=y_hat-conf_int, color='blue');\n",
    "# dash confidnece int\n",
    "ax.lines[1].set_linestyle(\"--\")\n",
    "ax.lines[2].set_linestyle(\"--\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Selecting degrees of freedom for polynomial regression with ANOVA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**ISL Authors:** In performing a polynomial regression we must decide on the degree of the polynomial to use. One way to do this is by using hypothesis tests. We now fit models ranging from linear to a degree-5 polynomial and seek to determine the simplest model which is sufficient to explain the relationship between wage and age."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 288,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>df_resid</th>\n",
       "      <th>ssr</th>\n",
       "      <th>df_diff</th>\n",
       "      <th>ss_diff</th>\n",
       "      <th>F</th>\n",
       "      <th>Pr(&gt;F)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2998.0</td>\n",
       "      <td>5.022216e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2997.0</td>\n",
       "      <td>4.793430e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>228786.010128</td>\n",
       "      <td>143.593107</td>\n",
       "      <td>2.363850e-32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2996.0</td>\n",
       "      <td>4.777674e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>15755.693664</td>\n",
       "      <td>9.888756</td>\n",
       "      <td>1.679202e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2995.0</td>\n",
       "      <td>4.771604e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6070.152124</td>\n",
       "      <td>3.809813</td>\n",
       "      <td>5.104620e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2994.0</td>\n",
       "      <td>4.770322e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1282.563017</td>\n",
       "      <td>0.804976</td>\n",
       "      <td>3.696820e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   df_resid           ssr  df_diff        ss_diff           F        Pr(>F)\n",
       "0    2998.0  5.022216e+06      0.0            NaN         NaN           NaN\n",
       "1    2997.0  4.793430e+06      1.0  228786.010128  143.593107  2.363850e-32\n",
       "2    2996.0  4.777674e+06      1.0   15755.693664    9.888756  1.679202e-03\n",
       "3    2995.0  4.771604e+06      1.0    6070.152124    3.809813  5.104620e-02\n",
       "4    2994.0  4.770322e+06      1.0    1282.563017    0.804976  3.696820e-01"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Derive 5 degree polynomial features of age\n",
    "degree = 5\n",
    "f = ' + '.join(['np.power(age, {})'.format(i) for i in np.arange(1, degree+1)])\n",
    "X = pt.dmatrix(f, wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "\n",
    "# Get models of increasing degrees\n",
    "model_1 = sm.OLS(y, X[:, 0:2]).fit()\n",
    "model_2 = sm.OLS(y, X[:, 0:3]).fit()\n",
    "model_3 = sm.OLS(y, X[:, 0:4]).fit()\n",
    "model_4 = sm.OLS(y, X[:, 0:5]).fit()\n",
    "model_5 = sm.OLS(y, X[:, 0:6]).fit()\n",
    "\n",
    "# Compare models with ANOVA\n",
    "display(sm.stats.anova_lm(model_1, model_2, model_3, model_4, model_5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**ISL Authors:** The p-value comparing the linear Model 1 to the quadratic Model 2 is essentially zero (<10−15), indicating that a linear fit is not sufficient. Sim- ilarly the p-value comparing the quadratic Model 2 to the cubic Model 3 is very low (0.0017), so the quadratic fit is also insufficient. The p-value comparing the cubic and degree-4 polynomials, Model 3 and Model 4, is ap- proximately 5 % while the degree-5 polynomial Model 5 seems unnecessary because its p-value is 0.37. Hence, either a cubic or a quartic polynomial appear to provide a reasonable fit to the data, but lower- or higher-order models are not justified."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 289,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.75818559, 0.84262114, 0.77341959, 0.56366932, 0.4460959 ,\n",
       "       0.36968197])"
      ]
     },
     "execution_count": 289,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_5.pvalues"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Revision note:** ISL suggests that the above results should be same as for annova pvalues, but that isn;t observed here us statsmodels. Why?\n",
    "\n",
    "\n",
    "**ISL Authors:** However, the ANOVA method works whether or not we used orthogonal polynomials; it also works when we have other terms in the model as well. For example, we can use anova() to compare these three models:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 292,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>df_resid</th>\n",
       "      <th>ssr</th>\n",
       "      <th>df_diff</th>\n",
       "      <th>ss_diff</th>\n",
       "      <th>F</th>\n",
       "      <th>Pr(&gt;F)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2997.0</td>\n",
       "      <td>3.902335e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2996.0</td>\n",
       "      <td>3.759472e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>142862.701185</td>\n",
       "      <td>113.991883</td>\n",
       "      <td>3.838075e-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2995.0</td>\n",
       "      <td>3.753546e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5926.207070</td>\n",
       "      <td>4.728593</td>\n",
       "      <td>2.974318e-02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   df_resid           ssr  df_diff        ss_diff           F        Pr(>F)\n",
       "0    2997.0  3.902335e+06      0.0            NaN         NaN           NaN\n",
       "1    2996.0  3.759472e+06      1.0  142862.701185  113.991883  3.838075e-26\n",
       "2    2995.0  3.753546e+06      1.0    5926.207070    4.728593  2.974318e-02"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Derive 5 degree polynomial features of age\n",
    "degree = 3\n",
    "f = 'education +' + ' + '.join(['np.power(age, {})'.format(i) for i in np.arange(1, degree+1)])\n",
    "X = pt.dmatrix(f, wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "\n",
    "# Get models of increasing degrees\n",
    "model_1 = sm.OLS(y, X[:, 0:3]).fit()\n",
    "model_2 = sm.OLS(y, X[:, 0:4]).fit()\n",
    "model_3 = sm.OLS(y, X[:, 0:5]).fit()\n",
    "\n",
    "# Compare models with ANOVA\n",
    "display(sm.stats.anova_lm(model_1, model_2, model_3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Polynomial logistic regression with bootstrapped confidence intervals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 442,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>age</th>\n",
       "      <th>maritl</th>\n",
       "      <th>race</th>\n",
       "      <th>education</th>\n",
       "      <th>region</th>\n",
       "      <th>jobclass</th>\n",
       "      <th>health</th>\n",
       "      <th>health_ins</th>\n",
       "      <th>logwage</th>\n",
       "      <th>wage</th>\n",
       "      <th>wage_above_250</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2006</td>\n",
       "      <td>18</td>\n",
       "      <td>1. Never Married</td>\n",
       "      <td>1. White</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>1. Industrial</td>\n",
       "      <td>1. &lt;=Good</td>\n",
       "      <td>2. No</td>\n",
       "      <td>4.318063</td>\n",
       "      <td>75.043154</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2004</td>\n",
       "      <td>24</td>\n",
       "      <td>1. Never Married</td>\n",
       "      <td>1. White</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>2. Information</td>\n",
       "      <td>2. &gt;=Very Good</td>\n",
       "      <td>2. No</td>\n",
       "      <td>4.255273</td>\n",
       "      <td>70.476020</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2003</td>\n",
       "      <td>45</td>\n",
       "      <td>2. Married</td>\n",
       "      <td>1. White</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>1. Industrial</td>\n",
       "      <td>1. &lt;=Good</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>4.875061</td>\n",
       "      <td>130.982177</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2003</td>\n",
       "      <td>43</td>\n",
       "      <td>2. Married</td>\n",
       "      <td>3. Asian</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>2. Information</td>\n",
       "      <td>2. &gt;=Very Good</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>5.041393</td>\n",
       "      <td>154.685293</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2005</td>\n",
       "      <td>50</td>\n",
       "      <td>4. Divorced</td>\n",
       "      <td>1. White</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2. Middle Atlantic</td>\n",
       "      <td>2. Information</td>\n",
       "      <td>1. &lt;=Good</td>\n",
       "      <td>1. Yes</td>\n",
       "      <td>4.318063</td>\n",
       "      <td>75.043154</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  age            maritl      race  education              region  \\\n",
       "0  2006   18  1. Never Married  1. White        1.0  2. Middle Atlantic   \n",
       "1  2004   24  1. Never Married  1. White        4.0  2. Middle Atlantic   \n",
       "2  2003   45        2. Married  1. White        3.0  2. Middle Atlantic   \n",
       "3  2003   43        2. Married  3. Asian        4.0  2. Middle Atlantic   \n",
       "4  2005   50       4. Divorced  1. White        2.0  2. Middle Atlantic   \n",
       "\n",
       "         jobclass          health health_ins   logwage        wage  \\\n",
       "0   1. Industrial       1. <=Good      2. No  4.318063   75.043154   \n",
       "1  2. Information  2. >=Very Good      2. No  4.255273   70.476020   \n",
       "2   1. Industrial       1. <=Good     1. Yes  4.875061  130.982177   \n",
       "3  2. Information  2. >=Very Good     1. Yes  5.041393  154.685293   \n",
       "4  2. Information       1. <=Good     1. Yes  4.318063   75.043154   \n",
       "\n",
       "   wage_above_250  \n",
       "0             0.0  \n",
       "1             0.0  \n",
       "2             0.0  \n",
       "3             0.0  \n",
       "4             0.0  "
      ]
     },
     "execution_count": 442,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create logistic repsonse for wage > 250\n",
    "wage_df['wage_above_250'] = (wage_df['wage'] > 250).astype(np.float64)\n",
    "wage_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "metadata": {},
   "outputs": [],
   "source": [
    "def logit_boot(df, idx):\n",
    "    # Derive 4 degree polynomial features of age\n",
    "    degree = 4\n",
    "    f = ' + '.join(['np.power(age, {})'.format(i) for i in np.arange(1, degree+1)])\n",
    "    X = pt.dmatrix(f, df.loc[idx])\n",
    "    y = np.asarray(df['wage_above_250'].loc[idx])\n",
    "    # Some sample for predictions observations \n",
    "    x1_test = np.arange(20,81)\n",
    "    X_test  = np.array([np.ones(len(x1)), x1, np.power(x1, 2), np.power(x1, 3), np.power(x1, 4)]).T\n",
    "        \n",
    "    # Fit logistic regression model\n",
    "    model = sm.Logit(y, X).fit(disp=0)\n",
    "    y_hat = model.predict(X_test)\n",
    "    return y_hat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 422,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tenth_percentile(df, idx):\n",
    "    Z = np.array(df.loc[idx])\n",
    "    return np.percentile(Z, 10)\n",
    "\n",
    "def boot_idx(n):\n",
    "    \"\"\"Return index for bootstrap sample of size n\n",
    "    e.g. generate array in range 0 to n, with replacement\"\"\"\n",
    "    return np.random.randint(low=0, high=n, size=n)\n",
    "\n",
    "def boot(fn, data_df, samples):\n",
    "    \"\"\"Perform bootstrap for B number of samples\"\"\"\n",
    "    results = []\n",
    "    for s in range(samples):\n",
    "        Z = fn(data_df, boot_idx(data_df.shape[0]))\n",
    "        results += [Z]\n",
    "    return np.array(results)\n",
    "\n",
    "# Get y_hat for B number of bootstrap samples\n",
    "B = 1000\n",
    "boot_obs   = boot(logit_boot, wage_df, samples=B)\n",
    "SE_pred    = np.std(boot_obs, axis=0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 441,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate 5% and 95% percentiles of y_hat across all bootstrap samples\n",
    "upper = np.percentile(boot_obs, 95, axis=0)\n",
    "lower = np.percentile(boot_obs, 5, axis=0)\n",
    "\n",
    "# Derive 4 degree polynomial features of age\n",
    "degree = 4\n",
    "f = ' + '.join(['np.power(age, {})'.format(i) for i in np.arange(1, degree+1)])\n",
    "X = pt.dmatrix(f, wage_df)\n",
    "y = np.asarray(wage_df['wage_above_250'])\n",
    "# Some test observations \n",
    "x1_test = np.arange(20,81)\n",
    "X_test  = np.array([np.ones(len(x1)), x1, np.power(x1, 2), np.power(x1, 3), np.power(x1, 4)]).T\n",
    "\n",
    "# Fit logistic regression model\n",
    "model = sm.Logit(y, X).fit(disp=0)\n",
    "y_hat = model.predict(X_test)\n",
    "\n",
    "\n",
    "# Setup axes\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "plot_df = pd.DataFrame({'Age': x1_test, 'Pr(Wage>250 | Age)': y_hat})\n",
    "sns.lineplot(x='Age', y='Pr(Wage>250 | Age)', data=plot_df, color='red')\n",
    "\n",
    "sns.lineplot(x=x1_test, y=upper, color='blue');\n",
    "sns.lineplot(x=x1_test, y=lower, color='blue');\n",
    "\n",
    "# Plot all f(x) estimations\n",
    "for b in boot_obs:\n",
    "    #plot_df = pd.DataFrame({'Age': boot_obs[0][:, 0], 'Pr(Wage>250 | Age)': boot_obs[0][:, 1]})\n",
    "    sns.lineplot(x=x1_test, y=b, alpha=0.05)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here I've used the bootstrap sampling method to get estimates of f(x) for 1000 samples of the dataset. The 5th and 95th percentile of these estimates are shown in blue. The estimate for f(x) using the full dataset is shown in red. \n",
    "\n",
    "**Revision note:** I expected the 5th and 95th percentiles to correspond to the confidence intervals reported by the ISL authors. They are largely similar except for the higher bound for high values of age which tends to zero here but for the ISL authors tends to 1.\n",
    "\n",
    "### Step function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 472,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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FJaJV4b1AFB+DMyKKzff9uV6nzcV7gSg+BmdEFJvjOHO9TpuL9wJRfAzOiCg213VRKpVCr5VKJQ4Ev4F4LxDFxwkBRLQQtVoNxWKRM/SI9wJRTAzOiGhhXNflg5gA8F4gioPdmkREREQpwuCMiIiIKEUSC86EEPeFEL8uhPiaEOKrQog/c/n6XxRCfCyE+Mrlf3808Jk/J4R4KoT4/4QQ/2pSZSMiIiJKqyTHnA0B/JiU8neEEBUAXxZC/Orltp+SUv5k8M1CiHcAfB+AbwVwAOAfCiE+I6UcJVhGIiIiolRJrOVMSvlSSvk7l/9uAfgagHsRH/luAL8opfSklM8APAXwHUmVj4iIiCiNljLmTAjxEMC3Afity5d+RAjxnhDi54UQO5ev3QPwPPCxF5gSzAkhfkgI8a4Q4t3j4+MES01ERES0fIkHZ0KILQB/F8CPSinPAfw0gN8H4IsAXgL4a+qtUz4ur7wg5c9IKZ9IKZ/s7+8nVGoiIiKi1Ug0OBNCOLgIzP6WlPLvAYCU8rWUciSlHAP4WXzSdfkCwP3Axw8BHCVZPiIiIqK0SXK2pgDwcwC+JqX864HX7wbe9scB/O7lv38ZwPcJIVwhxCMAnwbw20mVj4iIiCiNkpyt+QcBfD+AfyaE+Mrlaz8O4E8KIb6Iiy7LDwD8KQCQUn5VCPFLAH4PFzM9f5gzNYmIiOimSSw4k1L+JqaPI/uViM/8BICfSKpMRERERGnHFQKIiIiIUoTBGREREVGKMDgjIiIiShEGZ0REREQpwuCMiIiIKEUYnBERERGlCIMzIiIiohRhcEZERESUIgzOiIiIiFKEwRkRERFRijA4IyIiIkoRBmdEREREKcLgjIiIiChFGJwRERERpQiDMyIiIqIUYXBGRERElCIMzoiIiIhShMEZERERUYowOCMiIiJKEQZnRERERCnC4IyIiIgoRRicEREREaUIgzMiIiKiFGFwRkRERJQiDM6IiIiIUoTBGREREVGKMDgjIiIiShEGZ0REREQpklt1AYiIaP14ngff9+E4DlzXXXVxiDYKgzMiIppLs9lEt9vVP5dKJdRqtRWWiGizsFuTiIiseZ4XCswAoNvtwvO8FZWIaPMwOCMiImu+78/1OhHNj8EZERFZcxxnrteJaH4MzoiIyJrruiiVSqHXSqUSJwUQLRAnBBAR0VxqtRqKxSJnaxIlhMEZERHNzXVdBmVECWG3JhEREVGKMDgjIiIiShEGZ0REREQpwuCMiIiIKEUYnBERERGlCIMzIiIiohRhcEZERESUIgzOiIiIiFKEwRkRERFRijA4IyIiIkoRBmdEREREKcLgjIiIiChFGJwRERERpQiDMyIiIqIUYXBGRERElCIMzoiIiIhShMEZERERUYrkVl0AIqJ14nkefN+H4zhwXXfVxSGiDcTgjIjIUrPZRLfb1T+XSiXUarUVloiINhG7NYmILHieFwrMAKDb7cLzvBWViIg2FYMzIiILvu/P9ToR0XUxOCMisuA4zlyvExFdF4MzIiILruuiVCqFXiuVSpwUQEQLxwkBRESWarUaisUiZ2sSUaIYnBERzcF1XQZlRJQodmsSERERpQiDMyIiIqIUYXBGRERElCIMzoiIiIhShMEZERERUYowOCMiIiJKEQZnRERERCnC4IyIiIgoRRicEREREaUIgzMiIiKiFGFwRkRERJQiDM6IiIiIUiSx4EwIcV8I8etCiK8JIb4qhPgzl6/XhRC/KoT4xuX/dy5fF0KIvyGEeCqEeE8I8S8kVTZaLM/z0G634XneWh8jLlMZ425vtVo4Pj5Gq9VaWJkXLW4ZG40GXrx4gUajseCSfWId7iWTdfjOpeF+3YRrTTdTLsF9DwH8mJTyd4QQFQBfFkL8KoB/D8A/klL+FSHEnwXwZwH8ZwD+CIBPX/73LwL46cv/U4o1m010u139c6lUQq1WW7tjxGUqY9ztKmCRUkIIgXq9jsPDw6RO51rilvHp06c4OjrCeDxGJpPBwcEBHj9+vNAyrsO9ZLIO37k03K+bcK3p5kqs5UxK+VJK+TuX/24B+BqAewC+G8CXLt/2JQDfc/nv7wbwC/LCPwVQE0LcTap8FJ/neaFffgDQ7XYX+lfqMo4Rl6mMcbe3Wi39oAMAKSUajUaqWtDilrHRaOjADADG4zGOjo4W2oK2DveSyTp859Jwv27CtaabbSljzoQQDwF8G4DfAnBbSvkSuAjgANy6fNs9AM8DH3tx+RqllO/7c72e1mPEZSpj3O39fl8/6BQpJfr9/rXKm4S4Zex2uzowU8bj8ZUHbBzrcC+ZrMN3Lg336yZca7rZEg/OhBBbAP4ugB+VUp5HvXXKa/LKm4T4ISHEu0KId4+PjxdVTLoGx3Hmej2tx4jLVMa42wuFAoQIfz2EECgUCqHXbMbXxB2DM+vztmWcpVQqIZMJ/zrKZDIolUrXKuc063AvmazDdy7uvbAIm3Ct6WZLNDgTQji4CMz+lpTy712+/Fp1V17+/83l6y8A3A98/BDA0eQ+pZQ/I6V8IqV8sr+/n1zhych13SsPz1KpBNd11+oYcZnKGHd7pVJBvV7XDzw1hqdSqej3N5tNnJ6e4vz8HKenp2g2m1fKafOeKFGftyljlHq9joODAx2gqTFn9Xp9rjJGWYd7yWQdvnNx74VF2IRrTTebmGx+XtiOL76ZXwLQkFL+aOD1vwrgNDAhoC6l/E+FEP86gB8B8EdxMRHgb0gpvyPqGE+ePJHvvvtuIuUne57nwfd9OI6T2C+/ZRwjLlMZ425vtVro9/soFAqhB53neTg9Pb3y/t3dXb0fm/eYzs3m87PKaKvRaKDb7aJUKi00MAtah3vJZB2+c3HvhUXYhGtNm0UI8WUp5RPT+5KcrfkHAXw/gH8mhPjK5Ws/DuCvAPglIcQPAvgIwPdebvsVXARmTwF0AfxAgmWjBXJdN/FffEkfYxG/xE1ljHsOlUpl6kMuanyNOp7Ne6LYfj6fz0MIce3uo3K5jHw+n2j30zLu16Stw3du1v1qaxnfSaK0Siw4k1L+JqaPIwOA75ryfgngh5MqD9EsaZhyH6cMNuNr4o7Bsfl83HpMw3XYFOveYsR7gW46rhBAN1oaptzHLYPN+Jq4Y3BMn497Dmm4Dpsi7tjCVeO9QJRstyZR6sXt7ktLGWq1GorFYmRric17rnuMZXWbUrRZgU2xWFybeuS9QMTgjG64NEy5X1QZVjkOaRndpmS2CYEN7wUidmvSDbfIKffXzSG2rGn/SXZ3Jd1tetNc917ahMCG9wIRW86IYnf3AfEHMC+iDFGW0d2VZLfpTRLnXlKBzeTn160ueS/QTcfgjAjxugQXFfgk2S25rO6uuOdw01MfLOJe2pTA5qbfC3SzMTgjimkdxvksq7tr3VM4AIs5h+smHF7UvcTAhmi9MTgjimkdxvkso7trE3JTLeIcTPuI2r4O9xIRJY8TAohiWpcBzLVaDbu7u6hWq9jd3V1o4LTM3FRxF2+P2m/cczDtw7R9Xe4lIkoWW86IFmBdxvkk1d21rK7dJFvnFnEOpn3YHGNd7iUiSg6DM6IFiRv4rPN4rWV0xyU943QR5+A4DoQQGI1GGI1GyGazyGazeh+2x9iEMWPrfD/fJLxO6cTgjCgF1n281jLGtCXdOreIc3BdF6PRCI1GA1JKCCFQr9f1PjYl1YXJut/PNwWvU3oxOCNasU1YcgdIvjtuGa1zcc/B8zxkMhlUq1UMh0PkcjlkMhl4nndjui035X7edLxO6cbgjGjF1iEVh60ku+OW1eoU5xzUtczn88jn86HXJxeiX7dra2uT7udNxuuUbgzOaC1s8rgI2xahZdTBdfNzLUsaWp2i6oCpMFgH64LXKd0YnFHqLWNcxCqDDpsWoWXUQZz8XMu0ylYnUx3clDFlUVgH64HXKd0YnFGqLWNcRBqCjqgWoWXUgekYaRqfsqpA2rYO0tC6t2qsg/XA65ReDM4o1ZIeF5GmoGNWi9AyxoYsIj/XMqwykJ6nDjZ5TJkt1sF64HVKJ64QQKmW9LiIqAduWixjbIjpGPOMi0sie7/at00G/6TKwDE6RLQsbDmjVEt6XMQ6PHCXMTbEdIw0jIuzablKsgwco0NEy8LgjFIvyXER6/LAXcbYENMxVj0uzhRIL6MMHKNDRMvA4IzWQpLjItblgbuMsSGmY6xyXJwpkF7WuDiO0SGipDE4o1RYdX6tNDxw05DH7LqfX1autqhA2rSu5aK0Wi30+30UCgVUKpWF7nuTrDonHtE6Y3BGK7cu+bWSlIY8ZnE+v8wxabMCadO6lovw4sWLK/s/PDxc2P43xU34zhIlibM1aaVMM/BsZ+itM3WOg8Eg9P9FzkKMW482n6/Vatjd3UW1WsXu7m7oYbyM6xhc17JcLqNarep1LReh1WrpwAwApJRoNBpotVoL2f+muAnfWaKkseWMVmpd8mslyfd93VWmFAoFVKvVhc1CtK3HWV1Rtp9PQ64207qW19Xv93Vgpkgp0e/32b0ZcBO+s0RJY3BGK7Wo/FrrYFbgI6Wc2kqmAgHP89Dr9TAej/VYql6vN9csRJt6jAoA416HNORqi6tQKEAIEQrQhBAoFAoL2X/QOo/X2qTvLNGqsFuTVkqNVQqall9r1vZ10Ww2cXp6ivPzc5yenqLZbOptQgiUy2UIIab+7Ps+ut0uGo0Gms0mGo0Gut3uXIlyTfVo6oqKex2WcR2TPkalUkG9Xg9dp3q9PrXVLE4XdNS9sg425TtLtEpsOaPEmVoB4uTXWgem/FuO4+iH17RZhlJKdDqd0Fin4M+2ourRpisq7nVIQ662uA4PD7G9vR05WzNOF3SalhOLY92/s0SrxuCMEmX7oLpufq11YAp8XNdFsVhEt9tFJnPRmB18GAsh4LpuaEya67q6BWces+rRtisq7nVIQ662uCqVyswxZnGDq00ar7XO31miVWNwRolZZitAmnNPqQBnMBhgOBwil8shn8+HAp9arYbxeIxut3slgHUcB5VKBb7vh87xOmN4ZtWT6opqt9u69W5ra+vKdTLVs2m7qRV1EdcxbhnjbFfB1eS1ngyuZu1D5Wrr9/sYDAbI5/MoFAoLzxdnY9XfqXUed0fz4bW+isEZJWZZrQBpzz3lui7G4zHOz89n5t8KnoMaU6bOwXVdNJtNfPjhhxiPx8hkMshkMjg4OJirHDb1NBwOMRwOp3aZmj5v2m5qRV3EdYxbxrjbHceZOvN2d3fXah+u66LT6eDo6Ehf64ODA9y9e9e6Hhdh1d8p5km7OXitp+OEAErMMmZtrUPuKc/zkM1mUa/XUavVUK/Xkc1m9WBx0zk0Gg00Gg3UajX9n3rNlukYqpUzn8+jVCohn8+HJgSYPm+7/6B59r+Ic7TZfnZ2Fhrwf3Z2duXzg8FAt2xNK2MulwvtI5f75G9gmzL0ej1Uq1VUKhVUq1X0ej3relyEVX+nmCft5uC1no3BGSVmGbO2onJPpYXv+5BSIpPJwHEcZDIZSCl1y6LpHLrdLobDIXzfx2g0gu/7GA6HV36pRc0QNB0jqpXT5vNJ799G3DIGA66zs7NQIKa2dzodtNtt9Ho9tNttdDqdUBl930epVAoF4qVSaa56HI/HOqgTQmA8HlvX4yKs+ju1jHOkdOC1no3dmpSopGdtLTP31HWZWhBN51AqlZDJZDAej/X2TCYTCnxNXQOmY8QtY9L7t6H2MRgM9Lg5NWbL5hjZbHbqrNhsNqu3Tz40fN/X29X5qEBcTe6QUi6tHhdh1d8p5km7OXitZ7NuORNCFIUQ35xkYWgzua47dXD5IsyTe2pVTC2IpnOo1+s4ODjQD3s1DqlerwOw6xowHSNuGZPev41KpaLX9+z1enpyhW0Z8/k8qtVqaHu1WtWrDeTzeezv74euw/7+fmg1glXXoxInz9qqv1PMk3Zz8FrPJmxyJQkh/k0APwkgL6V8JIT4IoD/XEr5x5IuYJQnT57Id999d5VFoJRY9cwyG3FnKqqJAqrbTGm32zg/P7/y/mq1iq2trbmOEbeMq5yt6Xkezs7OMBgM9DHy+Tx2dnasZkp6nofT01Md2KoHx+7uLlzXtd7/qutxUQOsV/2snMYtAAAgAElEQVSd4gy+m+MmXWshxJellE+M77MMzr4M4A8D+A0p5bddvvaelPILsUsaA4Mzok+CikkqqLgp5glSZzEFNmmfWcZ7gSjdbIMz2zFnQynl2+skvaTVu0l/ldxEqoVnMmi4add6EeNX1n21ik1KYkt0k9kGZ78rhPi3AWSFEJ8G8KcB/J/JFYsWJe1/6S/KTQhAo87RNmhIup5WeR1UkNpsNnUC2FqtNnc51nm1CpXEdjQaTV0KbJnS8J1MQxmIrsM2OPuPAfx5AB6Avw3gHwD4y0kVihZjU9bpM7kJAajNOZqChqTrKS3XQaWgCM6ivCnU+qyTCWSX/X1Pw72QhjIQXZfVbE0pZVdK+eellN8upXxy+e/0JJKiqW5CDpmbkMRwEee4qHqaNQvQdv9xZhHalE2tT6ryyW3avaBEXYdMJoNqtYpyuYxqtYpMJrPUOljmdzLu/UiUVlYtZ0KIvw9gcubAWwDvAvibDNTS6SbkkLkJY2wWcY6L2EdUS4TN/pvN5pUux0W2ZNyEewGwuw75fD6U4mOZdbCs69BsNq+sBTvP/UiUZrbdmu8D2MdFlyYA/FsAXgP4DICfBfD9iy8axXUTBoovKwBdxtiVWcdYxDnG3Yepi9y0f8/z8Pr161CWec/zrtXFnmQ9pV3c67AMyyiDmpWqkgYLIUL3UxrqgSgO2+Ds26SUfyjw898XQvxjKeUfEkJ8NYmC0WKkfXZZXMsIQJcxdiXqGIs4x7j7MLVEmPbf7XavLP/T7/fR7XbnOo+k6ynt4l6HZVhGGbrd7tTVHNT9lIZ6IIrDNjjbF0I8kFJ+BABCiAcA9i63DRIpGS1MmmeXLcIiAtBZrTHLmFRhc4xFnGOcfdi0RNRqNWSz2ZmJS6ctCTSPZdVTmtleh1XXwTLKMG39z2WXgSgptsHZjwH4TSHEPwcgADwC8B8JIcoAvpRU4YhsxQlA446lisv2GIsIsq+7D5uWiGA9qkXaVT2WSiWUy+VQN1S5XL6ydEuUZdZTWtm2CKWhDpIsQ6lUQqFQCLXGFgqFK/dTGuqB6DqsgjMp5a9c5jf7FlwEZ/9vYBLAf5VU4YiSloYxPMscHxNn7FxUS4SpHl3X1VnqgwO4F916dxOwRegi6Lp9+3bsnHZEaWXbcgYAnwbwzQAKAL5w2UXxC8kUi2g+1w06bMfwJPkQsG0NMZ2jaXuz2dRrQ6o1IRc1ds6mVatWq2E8Huv1QacdO+ocVD1NnsOiH8iLmPyx6uSnqz7+MjBIpU1mm0rjLwD4TgDvAPgVAH8EwG8CYHBGKxdnwL5ta0zSiU1ND5q4az56nofnz5+HkpO22+25xs5FHcOmHl+8eKGPrxZxPzw8tD4H4JP1M1Wg7DhO6hLprjrZ701KvspuS9pUVkloAfwJAN8F4JWU8gcA/H4A/EbQysVNNqlaY4KCrVbLTGzquu7Urj7TOdrUwfn5uQ6MAOgAadpC4dOYjmGqx1arNfX4rVbL+hzUPoCLYBlAaB9xqTIMBoPQ/1eR7Pe6+2fyVaLNYNut2ZdSjoUQQyFEFcAbAN+UYLmIrCxiwH5Uq1UaklmqMgwGA91ilM/ndRlsyjgajaa+Z9brs8oQdYyoeuz3+1Nn1/X7fVQqFav9m/YRl+/7aLVaVwaZV6vVpSb7jbP/NNyvtm5C1yvRddkGZ/+XEKKGi4SzXwbQBvDbiZWKyNKiBonP6h5Z5ELS6sE/Lc1EFMdxpgYNu7u7ejtwNXgLllEt5TMYDPR55PN5lMtl6zLM8/qkQqEAIcSV4xcKBetzUPuYTMeh9qGYHvqzroOUcuoyQJMBYZSkJy2Y7kfb4686MLpJXa9E12EbnFUAfC+A3wDwvwGoSinfS6pQRLaSTjapZhfGXUg6ON5K7SM43sokl8thOBzqwEV166kyjsdjnJ+fzyxjpVKB67o4OjrSD+VHjx5ZB4nzptJQ29UDt1Kp6IkV4/EYmUwGtVpNH9/2HOr1+pV6DJ6D6aEfdR1Ueo/JdB/z5GNb9f0Y9zotwzJyBxKtO9vg7L8H8C8B+G9w0Z35lcsVAv7rxEpGZCnJWVvBhaRVYKQWkrY9zqzxVtvb21bBkcoZls/n9fFHo5HuqvI8D9lsFvV6PdSaEixjq9XCcDjE3t6erqfhcIhWq2UdoMVJpeF5Hra2tvDw4UP9+Xw+r8tocw4AcHh4iO3t7aktX6YymK6D4zg6kInTSrrq+zHOdVqGdep6JVoV2zxnvyaE+N8BfDuAfxnAfwjgWwEwOKNUSGrW1iIWkrYdKzWrq0m9V+1jPB6HfvZ9H1JKZDIZZDIZ/Zlp47UKhYLuBrzOeK1Z9WwzFmo8Hoda/cbjcWi76RyUSqUytcymMpiug+u6KBaLegIIgGsHLau+H697nZaB+eqIzGxTafwjAGUA/wTA/wHg26WUb5IsGFEaLOJBYjNWKqqrydTdZlNG2/Fa12UqQ9zttmWIGo9lUwdpz50Vt57SEBgl3fVLtAlsU2m8h4s1ND8H4AsAPieEKCZWKkoVz/PQbrcTnY6/jGNch3qQBNMrzHqQzDoHNVZKBVOTY6VM6Q8cx8HW1hYqlQry+TwqlQq2trb0A9WmjJVKBbu7uxiPx/A8D+PxGLu7u3PPcmw0Gnrc1rR66na7ODs704lmJ8dCtdttnJycoN1uT90+HA7R6/UwHA7nrmfVHfn69Wu8ePECr1+/xmg00vtYVB3YMN3P191uSlmyqM8nrVarYXd3F9VqFbu7uzMTEqfxd8I8NuEcaDVsuzX/EwAQQmwB+AFcjEG7A+Y623jLGDy86gHKNkxJaE3nEDVWymaVgtPTUzx79kwPpn/06BFu3749VxlNC0WbPH36FEdHR7oMBwcHePz4sd7e6XTQ6/UwHo8xHo/R6XRCdfDy5Us8e/ZMt2oF194ELhLMHh8fh8ZSTd4HUfXseR4+/PBDPH/+XO+j3+9jf39fBx+mOlhGEtq42+MmLLZtHYw7o9P0+aiu33X4nWCyCedAq2PVciaE+BEhxN8B8BUA3wPg53GxSgBtsGUktEx70kybJLS251CpVLC/v3+lpcbU1dRoNHBycqIfZq7r4uTkRLde2ZRRDYbPZDJwXReZTGauBK6NRkMHZsDFeLGjoyNdhlarhdPT09D209NTvf83b97g/fff13nVRqMR3n//fbx58yZUvlwuh0KhgFwud6V8pno+Pj7G0dERhBA6UD06OsLx8bFVHSziXoybJNa2DNdNWGz6vNJsNnF6eorz83Ocnp6i2WxGnfZCP5/23wk2NuEcaLVsuzWLAP46gG+RUn6XlPIvSSl/LcFyUQpEteis0zHi8H0fQgg9eH08HkMIESpf3HMwdTV1u109mF7N2FRrVNoeP2owvA1VhqBgGUz773Q6Uz/f6XSsy2c6T5VDrdfrod/vo9frYTQaYTAYWB1jEfeiaR9xt8c9vo24gUXcz6f9d4KNTTgHWi3bbs2/mnRBKH2WMXg4DQOUoziOg263e2Uwfr1eD71n1mdtRXU1lUolZDKZUHCTyWR0QLfICQGzuqJUGQaDge7WzOfzugym/ZfL5annoJLg2pTPdJ7FYlGPvVNlLJVKKBaLVsdY1KSEqNcXNTFi1nVaxDnEndEZ9/Np/51gYxPOgVbLtuWMbqBlDB5OywDlKMPhMJQbazgchrbPM2kgyqyupnq9joODA53eQY33UgGiTR2aJiUAF11RL1++xKtXr/Dy5ctQV1S9Xsfe3h48z9P/7e3t6TKY9n/r1i08evQodA6PHj3CrVu3Qp9X9a2OGSyfadJBpVLBvXv3UK/X9X/37t3T+zCVMe5ge5t9xN0ORHcZLuL7tOoZoevwO8FkE86BVss2CS3dUMtILZDm9AW+7+scWNPWtQwyDciP4/Hjx6jX6zogCbbcAXZ1aErg+vr161A3oud5oSSyu7u7KJVKOuFpsVgMJT+N2j8AvPPOO9jb20On00G5XNaBmbK1tQXf9zEYDJDP57G1tXXlHKImHTiOo4MxVYZqtRoKCkxljDvY3mYfcbbbJJGN+30KzqxVkzeixqfN+nycVBlp/p1gaxPOgVaHwRkZJZVQc9nHuA71YJ9M+hl84AcH5KuWoSSyrqvWoDhmJXDtdrtXxp/1+310u12dJFatUqDqIbhKgZLP5yGEmNlKMhmQKaoOg/fBZB2qSQfBZLynp6eoVqs6gC4UChiPxzqwKxQK1klslVn34jzZ9U3383W323YZLuL7pJYLm3dWL7CYwCStvxPmsQnnQKvB4Iwogk0rQBqyri9i2v608ViKTVdVnDIEB/XPaqG0WWkhydaKZV7nJMeU2Ry72+2GAvHr/LHBwITo+hicERmYHvirHvy7iPUSS6XS1FUI1LgZU5AatwyO46DVaoVa7wqFAnZ3d0M/20xqSCooWNZ1jgpyF9FlaJKGPzaIbjoGZ7QR4ibMNIl64KsH5vn5uS5DtVpdWmvKPA/TRqMxddya67rY3d2F4zgzzyEqSPV9P5RfTdXJZBmirlMul8NwONRjztQanIoa0K8WL582qWERVJA4OSZtkYHRrHqwHVOWzWZnjpuLK+6MUVtJf2eJ1hmDM1oLUb/I05CJ2ya7fRxR52j7MDVl+AcuxnFJKa/kJFNmBamO4+Dly5dX9v/OO+9YnYPv++j1evA8D6PRCFJK9Hq9K8GdaUB/XGppqmDwd3h4qLcvotvUVA/TBOsh+Hk1FnDeey3q+2QThMb9zqXhO0uUZgzOKPVMS/bE7dKLK5jdXrX2NBoNbG9vLyR4MJ2jzcN0VoZ/Nckg7jijTqejgxrgYixYo9FAp9PRsz2jzmEwGKDRaOjyjUYjNBoNHBwcXDmWaUD/danrOHkO17mO120ZMwXai7jf4844jVsG9fng+EIAS/3OEqUdgzNKNdODYFnjY6JaGmwGqsdhc46mFp2oDP/1ej12PXa7XTiOAyGETr+Qy+Ws9z8ajVAoFNDr9XSrVaFQ0Ms9zeO63WU219EmsInTMmYKtONep0XMOF1Ektpp4wuTGApAtK4YnFGqmR4EyxikbXog2w5Uvy7bc4waF7eIVQaiqPFlweBKZey32X+hUECxWEQ+n9fBXTabnbsObYKnWWPKCoWCToWiumbV64BdYBO3ZQyIDrTjXqdF/DGjjjU5s9a2DFLKKwl8Pc+7VsoOok3FFQIo1UwPI9XSEHSdQdqzsr4Hu2CC/w++zyb7fpwyLOIcF7HKQBS1pNVkHajlmUz7r1Qq2NnZQSaT0WP2dnZ25qpDm2v14sULPHv2DEdHR3j27BlevHiht1UqFZRKJTSbTZydnaHZbKJUKuky2KyXaHpP3HqO+/lF/DHjui7G4zHOz8/R6XRwfn6O8Xh8pQyz7mc1Ezh4rwR/3iRRq0kQRWHLGaWazXiquIO0Td1QNl0wcQeqm1p8FjEQfRGrDMzi+z7u3r2L7e3tmbM1TfuPW4ema2UaU+Z5HobDoc6v5jgOhsOhPh+bwMamVSnuKgRxrtMiZpx6nodsNot6vR5q5QyuFmGawKKOGfz8pq07yUkPFEdiwZkQ4ucB/BsA3kgpP3f52l8E8B8AOL58249LKX/lctufA/CDAEYA/rSU8h8kVTZaLzYPo+vmtjJ1Q83TBWMaqB4nfQKwmPxdplUGrnsMx3EwHo9RKBR0N+B4PJ6r6xWwG+w/qx5N18o0pkytkhA8h+AqCTaBTbBVKTjj03Y81zLuhbiBvu/7kFKGVsSQUupA3GYCS7FY1KtqAJs3GSANE5VovSXZcvY/APhvAfzCxOs/JaX8yeALQoh3AHwfgG8FcADgHwohPiOlnH80MG2kRQQm05jG4Kgul8nkrPN2wcRNn5B2KnC57nqMimkwf1Q9qmvTbrd1q1XwWtmMDYxaJQEwBzY2rUpR57mseyHO9yk48WNay9ciJrCsu034TtNqJRacSSn/sRDioeXbvxvAL0opPQDPhBBPAXwHgH+SUPFow1x3hp6pq2oRXTCLGCS+LHETg8ZZj9HUDWRTj0KI0Li14DqfpiS2plUSlKjAxtSqpM5zMoidN2fdKqnvwmQ9qvNbxASWdbcO15HSbRVjzn5ECPHvAHgXwI9JKc8A3APwTwPveXH5Gi3AqjNxL+L4piS0zWZTt5bUajXrGXqmrirVBdNoNHTrx7Ruqqgy+r4PIQTa7bYuw9bW1pX0CaYVBt68eYNOp4NyuTx1AfGjoyO9fVp+MGD2CgGqHk9OTvR57u3tXanHWWXwPA+9Xg+5XA5CCGSzWfR6vSvdOLOO73meDr7U9skWJ1WPky02wcBHzbIM/j/o8PAQ+Xx+6jm47sUqCUKIyGs9614CLh6+6tzVPorFYihP2enpaah1z/O8Kznrzs7O9EoJOzs7V8pgutam75zNd3LWeXqeB8dxUC6X9XbHcfT52raimsoQda/Ocx5JmnX8RYztMx0jTdahjOtm2cHZTwP4ywDk5f//GoB/H8C0PqKpf3oLIX4IwA8BwIMHD5Ip5QZZ9aDURRzflIT29evXoUHgwYcdED/r+8nJCT7++GP9MB2Px3PltnIcB0dHR3j16pUOGu7cuYPPfe5z+v2mFQZ+7/d+D8+ePdOff/ToUSj7/nvvvYevf/3r+vOf+cxn8IUvfCFUxqgVAjzPw4cffohms6nrqdPphOoxqgy+76Pb7V5pdapUKvrzUcf3fR/Pnj3De++9p4OSL3zhC/jc5z4XapGZdgz14FZl+OCDD3Q9PHz4MBS8Be+FVquFwWAQuhfa7TZarVZoGangdTDdS67rotFo4NmzZzowefToEW7fvg3goqVPBR1qH4PBIBQEttttnJ+f63NwHCdUBtO1Nn3nbL6TUefp+z5ev36N58+f62t5//59lMvl0HcnqhXVVAab1SzS/rst6dUk0mIdyriOlppKQ0r5Wko5klKOAfwsLrougYuWsvuBtx4COJqxj5+RUj6RUj7Z399PtsBrblY30LKmdS/i+KZ9qEHcQWoQNzA763ur1Qp9xnXdqX/dq8z6Ukpks1lIKXF0dIRGo2FdRpVuIFgGlYYgWMZcLodCoYBcLhcq45s3b3RQBFy0Dj179gxv3rwBcNGKoh7WwMVD8etf/zqOjj75Cs1aIUCdx9u3b3VgpsrYbDbx9u1bXYaPPvpIP2Qcx8FHH32kyyCl1EHTtJ9Nxz85OdGBGXAx2/G9997DyclJqF6DD3sppT5nVefPnz/XXZlCCDx//tz6XlDbAYRWepjcHnUvqfMcDAbwfR+DwSB0niqADO6j2+3qMUqmMpiuteletPlOms5T1XPwWgbrObjaRKlUQj6fn6sMpnvF9jySZHv8Wb9XFnmMVVqHMq6rpQZnQoi7gR//OIDfvfz3LwP4PiGEK4R4BODTAH57mWXbRDZ5mdJ+fJt9TA7aDv4cNUPPRvBBqrLVqweqbRm73S6y2Syq1SoqlQqq1Sqy2azeh6mMnU5nanZ/Fdx1Op1QkAJcPLTVdlWGWSsEBM9tknpdva/ZbKLRaKDZbIZeF0JMnZGoroXp+L1eb+o59Ho9/bPv+6hUKtje3ka5XNYpMFQ9DwYDZLPZ0D6y2awO+Pr9vh6TBkCPSVP1bLoONvdSu93W3buO4yCXy6HX66HdbgPAzLUsVbenzb0Qda2DdaFyvQVft/k+mcpgqmfTMVT39Hg8hu/7GI/HEEKEvi9R94rteSRpGcdf9TnaWIcyrqskU2n8bQDfCWBPCPECwF8A8J1CiC/iosvyAwB/CgCklF8VQvwSgN8DMATww5ypGd+qB6Uu4vimfZgGccfN3l8qlfRDBLgIVtQkgXnKCCDUEhDMzm8qY7lcnprdXyV4LZfLyOVyoYe2mqkYPI+oFQK2trZQqVTQarV0PVYqFWxtbQEA8vk82u126Bza7bZeh9NxHN2FOS2/l+n45XIZxWIRnufp+nFdN3QOal/B9T8n67lUKqHf7+syFAqFUD2rXGjBc1T1bLoONveSSikyuVJCsIz7+/tXxkjOcy9EXWvHcabmetvd3Q3V1aTg66YyqHoeDAb6WqlWMptjmLqnTfeK7XkkaRnHX/U52liHMq6rxFrOpJR/Ukp5V0rpSCkPpZQ/J6X8finl56WUX5BS/jEp5cvA+39CSvn7pJTfLKX8X5Mq102iBqUGXXdQapQkM9ub9qEGcdfrddRqNdTrdezu7urtcbP3q3FT5+fnaDQaOD8/R6VSCQUNpjKasvObynjr1i08evQo9PlHjx7pwewHBwf4zGc+o7vB1Dik4EDxer2Oe/fuhd5z7969UBlu376Ner2OnZ0d1Ot13L59W5ehWq3izp07oTLcuXMH1Wo1VAfBrqx56uDBgwf4/Oc/D9d1kc1m4bouPv/5z4fGldrU897eHnzfx2g0gu/72Nvb08fI5/NTW3xUoGe6Djb30tbWFvb29kLnube3p4Ncdb/evn0bd+7cwe3bt+e6X22utZqUoT6v3mtThzZlUNdSBcn5fH7qahPBlrHJY0R1T5vuFdvzSNIyjr/qc7SxDmVcV2Kd1zN78uSJfPfdd1ddjNRLciaNzWDQpGdr2myPmmEXtf3s7AxHR0c6+FRjSA4ODrCzszNXGUyzLU1lNM3Q++ijj/T2aZNlPv74Y7x69UoPdL9z5w7u3QtPio6aoXd6eorj42M9C3N/fz8UWNicg2kG3gcffKDP4eHDh1e2m8rYbDbR6XR0GcvlMmq1GlzX1YP9J2fNBlsIbcoYdY7tdhsvX75Ep9PR90K5XMbdu3cXdgxg9r2gznFyRuvkOcaZralE3c9RM6jVhIfJVRSq1WqojKbvi+15JGkZx1/1OdpYhzKmhRDiy1LKJ6b3cfmmGyCpfELLzIJtOgfT9qjM86YZeGqtRbV9OBzOTFUxi3pQqW6/ZrN5JYiNKqMa46Va7CY//+LFC5ydnelZhplMJnQOrVYLp6enyOVyuiXl9PRUj4NT8vl8KDeY4rquHhtULBb1mKFgnQcDddV6NXmO5XJ55iLZzWYz1GU5rY6COcI8zwsdw/d9nJ2d6XrI5XLY2dnRswhVd5rqcuz1eshkMqHgSJ3DaDTSGewnyzCrjgDoYEwt/TRt+abg/aaCtOC1AswrJcy6/xzHmZpn7To5xkz346z72ZRWxdQ9bdr/vOeRpGUcf9XnaGMdyrhuGJzRtdlkwU77NGvTeoumWYiKKd1HnCDW9PlWq4WXL19eSc+gzgEwL11kcw5Rme9tzjFuHanWu2CLTDBtymAwwJs3b0JLJ/m+H2p1iepOU/sPjoWaTMuiAvVgDrLg/Rzs5lGBR7Cbx3S/xbXI/FqzmK6VKa2KqYzBBezVdQY2b4knoigMzujaTINB07S+3Kxmd1PQMhqNsLu7i2azqYOSWq0Wmt1o87CaxnYpF9PnVTeeGsQthECv10On09EPfNMgb5tziMp8byqjak0Zj8e6HoOtKTYJZrvdLo6Pj0OD3X3f1znCVCLbbDarB6qr19R7q9Uq8vm8Dq7UJAHXdXUC3GA9qtfU/p8/f45Go6GDhna7feV+jspvZRMkq+tx3W6ipJdGMl1rmz9oospoWsCe6CZgcEbXZvoLOC3ry0W12NjM0Mvn87h165Z+4KvXFdN5xp3RZPp8NpvFcDgMtZypDPuKaemiuOdg2m5qTXEcRweUqp6DM/jUPqYtbK7KrgK64D7UBANVlmAZ1MzQ4DEGgwHa7bYuY3AM1Pn5uU54HGyZu3PnDiZzLs7q5rGZ8bmM1uY4wZ/pWqu0KsHgKphWJfjatGOrazNZ3nUeH000LwZnK7buAymj/gJWiUAnB2BfZ5q1aXDyLKYWIVPQUqlUsLOzoxNgSimvzNBT5zM5wFm9HrerSX1etRoVCgXs7+/rzxcKBRSLxdD+i8XilXQhh4eHyGQyUweSmx64qgyTg7yDs2ajlh1SY7yGw6G+V9TYL6XT6YSuw7SyVKtVDAYD3boWrOdisYhsNotcLqf3kc1mUSwW9T7UmDz1+eA1UCkqfN/X5xjsVvM8T39WBX+DwWCuhJum+822Sy/OcmamrlnTMUz3s0qrEuz2LpVK1t97FRRPBurT7gmiTcXgbIXSPh7L1qy/gF3XxdnZ2ZUlf+7evTtlL7OZBuxHsWm9Ozw8xPb29szgz7RdDZYPjnWaXJMxblfT6ekpXr16pYOK4EB1IYSeNakeyFtbW1ceZpNL4nS7Xb0kjm0AGRzkPSlq2SEhBFqtFl68eKHP4fDwMJSkVkqJcrmst6tkv6oMqjXw5ORE1+P9+/f1GC9V7yo7v+M4oZQQ6l6YPAd1L6jJHmdnZ7oMavKDqqNMJoO3b9/qOrx169bc1zLqfrLp0ouznFmwa1bdq9O6ZuMsTaS+D+qajkYjFAoF63pSkxrG47G+l6ZNaiDaZAzOViRN47GS0mg0cHp6ikqloh9mp6enaDQaMxcynhR3ALVtl6JpdlzUdtNgeeW6M5oajQY+/vhjnZRzNBrh448/1vnIHMfB1tYW8vn8zBmCs5bEqdfr+lpEPXDV/RocczY5KWHaskPqOnW7XZydnaFQKOg6Ojs7Q7fb1V2H6gGsyj3ZjaWy3gcDONXKpMY6AcCdO3dCXdDBe8fzvFDur2B3Wbfbxdu3b1EsFnXg8vbtW11G1dJWLpendpvOY9b9ZOrSM/3eiFrOzHVdna9v8vt0fn6uu2ZtfzfNup9tvw9R1EQNdZ0mV0Ug2nRLXb6JPnETlr1QKQmCAYFKUWAr7vJLwdlzyqJnrwUHyzuOg0wmowfLBzUaDd0KOA/TcjbqHGclgFX7MC1DpfY1bS1A0/2qroeaAamOFVzyR7VOZbNZPS5JLflTKpX04Px+vw/f90PZ/dW+isUitra29H/FYlEfQ421CwYepVIplEw12D02+bPv+6HkwsBF6o/g6hDFYlHnDKtUKigWizOXvroOmzJOY7ucWbA7N/j/4DnE/d1k+32I+nzUMl1ENzJuwCAAACAASURBVAFbzlbkJix7obqhVBeFWstwMliKYrv8UtQYHJsuxSQHSANXuxQPDg50l6KJzXI2pnMslUp6rcrgskK218J0joVCQbe4BCclBJf8Ua150+4F1SKl1r9USxIFz0PdCyr7PwA941KVRQWlwRab4KSFqO1qzNrOzo4uo5RSj1lTEy+CLWfD4fBaLWez7jebc4i6DqblzNRSYC9evNDHv3fv3tRlsmYdw2RRn4/Kg0a06dhytiLLaNFZNbWUUqvV0v+ppZZs2SyZ02w2cXp6ivPzc50Ha9KsFiHbz0dR1zK42HTwWs7qUrRtQVNLL6kgIJvNhpZesjlHNfNxsh4nW4pM5xgUPMdgkKSoma7qHCbHGt69e1efg+oK293dxd7eHnZ3d3VXmFKpVJDL5XBycoKzszOcnJwgl8vpe8F1XRSLxVCLTbArzrRdlVG18I7H41AZ8/k8dnd3dboPlWYlGEAos5Y0A6LvN5tziFoayXWjlzMDPmmNVsHnZCu07e8m07JtqitbrYQw7wQY0/GJNhlbzlYo6XxEq+Z5HnZ2duA4Tmi25rSxJ1EtV4eHh8jn81OXcrEdHzNr/4tMeKlag9RYp2B51OBm1eKSy+XQ7XatA9Xd3V2Mx2Ndj2oha1u+7+Pg4ADVajV0LeZJa1Kr1XR36uQAcd/3sb+/j3K5HJqhF9z/48ePUa/Xpy5bZDNxo9VqYTwe41Of+pRuVRqPx2i1WjpAM32narUastnszMkdu7u7umt1sp4dx9ErDqj9T1vtIGq2pCnfm00ZgYsxWMHu48lznFUHnU4HuVwOe3t7uny5XC6UE8+mDKYZoSr33ng8xng8RqfTuTLZKWoJq3X53bjus+0pvRicrdh1B4mvAzX2pFwu6xaaYOJSJbgkTzabxdbW1pWlidQg5larhcFgoGdrxl2lwDbhZdQvYZVZvt1u64eV7/v6gata1YItDNNaB2ZRAWSwHuedPOI4Dtrttu7u6nQ6ADDX7OCoZYccx0Gn09H7V9d+cv3R4ASEyfJNy4MWfG+/3w+NjVL/nkzgGvWdilpiSs10VJMG1M+qnl3XRaFQwHg81kH85CxE02xJ3/en5nObdb9OK2O32w11+c1zL6jEvqp7ezAY6O7ceetp1jmqpcJU4Dgej68sFWbTzZ/2342bMtue0onBGSXGZuyJackc02zNuKsU2CS8NP0S7na7esabCjAHg4FOp1Eul3Hnzh08f/5cP4zu3Llj3aW4qGS+UUsXmdjMmo2zf5vP244/nCXuTEfA3KJj2oeUEs1mE61WK5TI1namZNw/RgqFgk7joY6/vb0dqsO49WRaBcFm5nDa3YTZ9rRaDM4oMap1aLJVbHIW4bSlXmx/0Zvyc5keZqaElzbdnr7vo9Fo6JmHAHQyU7X99u3bqFarustPPeBtfpGrZL79fj+07NA8A6R938f29jYcx5nZ7RjFdB3UDDvXdUPpPOZZosr0eVMCV5tjzHpdHWNa8DfJ1KITtQ/VHZnL5UKTClQgqso4mdDYdqUGU9AQDMaCMzeDZYxbT6YgOmr28aKDs6S6HdOy+gltLgZnlLio8THA1XxWwZ9tWktMqxRMMzn7LZi5Pvi6TbdnMD1EMDO9emA5joPRaBTqihqNRtbBleterJ852Q00TzJfx3FwdnaGly9f6gDv7t27V7odZzFdB9sZdlGzFG0+b0oIbHOMSbYzHW3Y7CObzaLVaungKHgvO44z9X5TY9/i/jHiOA7K5TIcx5mZEy9uPZmCaJvZx0D8wMo0XCKOmzDbnlaLwRklxmZ8jEq3MPkwsv1Fr8xqzTA9zICLLrtgdv/ggH6bbs9cLofd3d1Qdvxqtapb2WzKEKXVaqHX66FarYYGkQcHwpsMBgN8/PHHeiyQEALj8RiHh4dW5TBdB5tzjOpum6eOohICxzmGmukYTGMxa/brLKZ9qPGIKkUGcBE4qXtFvScY6Ae3AfH+GAmOdVTfycl6tq0nx3F0GSbHaEYF0fV6HQcHB1f+2Ai2msUdz2UaLhFX3O80kQmDM0qMTdO/67q4ffv2zDUbgXitJUD0zDOV9V51zan0BapbVbUKnJyc6O7Avb29UDdOqVTC9vZ2qKtqsrUkaqaj6RxU4KpaG1TwODkQPmr229u3b9Hv91EqlXTQ0O/38fbt29A+TLNmZ63Nqc5RdVOXy+XQOS5qliIwe51V9cfA+fm53g7gyjFMszlN1ymqnk3HEEJgZ2cHp6enobUtg0lm1WoEUV3gg8FAdzVPC6yihhLUajUMBoOp1yn4HtO1GI1GGA6HV2YnK1FBdNTM3UWM5+p2u+h2u6FuZPXaogKodZlRSuuJwRklxrbp3+aX3HVbSya3T848Ay5+kZ+cnOjAZ29vL1TW8/Nz3bLmeR7y+XxobU/XdVGv15HP52c+EKNmOprOoVAoTC1jsDvMZvabao1RLTaT46lM9fj06VN89NFHoYdd8Bhf+9rX8OzZM10Hb9++xWc/+1ld79NmY6pxZjbXabIeJ9dZ9X0fz58/x/Hxsd6+v79/pVUnasyY6TrZJhOedQx1P52enobWIH348KHe3mg0cHx8rI+xv78/c/byrLVmo4YSTJ7D+fn5lXMwzdYMtkp5nofxeDx3q9SsCQCLGs8VnMSi6mlS3K7TtM8opfXFJLSUmGnpImY1/bvu7ASqUYItMiopZ6/X012Rs/4KV9vVEkbBCQnBnzudDprNJjzP0/81m02dikKp1WrY39/H7u7ulYfprJmOrVbLqozARUtJ8PPByQc2SW63t7dx+/Zt3cqRyWRw+/ZtbG9vW5Wh0Wjg/fffR6fTged56HQ6eP/99/Ux3rx5g6dPn6LVaqHT6aDVauHp06d48+aNLvO0iR+mNSODdWCqRxXABrefnJxYLxdm2n/cZMLAxf10fn6u79Fer4fz83N9Pw0GA72wujrG27dv9fW2vZeCS3lNXkfTOZiuRdQknkVYxHguKSV6vV7oNZU+RImbfJooSWw5o9jiLp1k2kcU1SIz2S2qWmR839dL/gSXw1F/hav1ElVC00wmo1vAgIsHUTabRbVaDXUpTptZNuuvaJuZjrPOTc1Y3d7eDtVjPp/Xn7eZ/VapVHDv3j24rhvqnlWtkaZZgtMywasM8fV6XY+LC9ajGhd369YtvZZmcGxhcJag6fiqHoUQerzcZPeu6hIMpqlQiXYnyz2r+zjqOs2TTHjWMVQuvFu3boXGQql6VOuHqhQbjuPoMZmVSiW0hqm6n9VMXpt7yeZesWm5iprEE9cixnONRiNUKhW9bmg2m9Vd+gBTYVD6MTijWGwG7pqa/uMM/pVS4vj4OPTQ931fryJgSm6qJh/kcjn9Szy4FJFq+Qu2NEybWRalUCjoQCIYVEzOdJwUXLdS/Rx8b7CMNrPf1BghFWAEE7qqWYLBWYSVSkXPElRj8SaPERxonslk0G639fZgS6gaNJ7P56emAzHNUlQ/q9mz6lpWKpXQ2LKotTEBc/dx1IxU9XAP3guj0ehKPUcdQw3Cf/XqlQ5Cd3Z29OuFQgG9Xk/Xg+qaVGVQa5h2Oh19ncrlsvW9pNa7nfxjJXgONvuImsSzCHHHcxUKBRSLxdBQg+DMWKbCoLRjtyZdm01X1KL2MWsdPzUgObhmpModFXzPrOSmahaiChby+XxoFqKaWRbsDpycWaa0Wi0cHx/rLqbgMYrFIo6Pj/H69WscHx+jWCxemek4a21OFSQFy7C7uztXGVutFs7OzkJpPs7OzkJlVYPEVQb7YNdpvV7H/fv3Q8e4f/++Psb29jZu3bqlZxbmcjncunVLd5u6rovxeIx2u41+v492u43xeBx6EKpZiuo6Ts5SzOfzVzLZq2BalfHOnTuhtS/v3LkTWr8z6l4zreNaLpexs7OD8/NznXRYLeekmI5RLpf1jE2VvkUt8q7OcXt7O1TP29vb+hzz+byelKH+6FCtvaqeo4YSqLU2g5+fXO/WtA81iWd7exvlcll3mS86qLnuUAfg4lru7Ozo1s1MJoOdnR19LZkKg9KOLWdk7FKctd32r8+o/dt0Z5nyFU37Czm4f1NyU9Ns0MePH6NarU5d21P5+OOP0Wg0dIuNWqxcnb8aUK3KMBqNrqwxqoKTyQAEuHioq8zshULhyuoCjx8/RqFQ0GWcHCDe7/fh+z48z9NlUN2MqstOPcBUy1Zw1qrrunjw4IHuWisUCtjZ2QnlelNrd6rPb21thZL5qmOre0G9prqf1bqrs9b+VJn0VblVvrnJ9Ttn1YOpi1vdC7PWcVV18fDhQ11u1VUYLGPUMYbDIba3t0P3Y6FQCCWhVfU6LVmwGk929+7d0ISCyVUMZs209DwP9XoduVwuVIeT96JptqbNrNa4TLNiTe+J+l4zFQalHYOzG26emY6T223++jTt39SdZcpXVCqVUCqV0Ol09Hgk9VqwLKbkpqbZoMPhUD9Qm83mlQH/r1+/vrIkj1pLUAVVwcAxuNyNam3JZDKhMW3qHFUdqAHNvV4Pp6enofExkzPw+v1+aAaemj354sULHTQcHh7qWYLARbqNjz/+WG+/d+/elXQZQgi9YsHkNQ8GJaPRSL9Xnc/kskVq7U3XvUiO+vTpU3z1q1/Vwd23fuu34smTJ1fuleDal61WK9T1GVUPNut3Rq3jCnyyoLdqgZ0cv2VzDNd1Q93owWDccRyd9gS4+KNFBWyKmnGrPjc53itqpqXv+6H9q3OZbKEyzZw1zWqNy2ZWrM17or7XTIVBacZuzRvM1AVj2m7q/rDtsozqzjLNDFMJMev1Omq1mu62CXbB2M4YncbmHNrttg46VBlbrVZo/NVkMGO7XI5NHdjOwDs/Pw+95/z8XJ+H7/s4PT0NbT89PdVlMM0CVPWgup7Vv5XhcDi1jlSL0evXr/GNb3xDd6UOBgN84xvfwOvXr0N1EnWv2NRDVBe3aSakymMX3B5cBF1RgakqY3Bsn/rDIdjdFvxjwnSOKjt/cHswp566Tt1uF2dnZ/rfwdnJpqTKpnveVE9x2VzHRcycBeJ1nRIliS1nN5ipW9Km2zLqr0+bz/u+r4OlWV1NpplhNolFr/sXss05TOuGDL5uWu7GpgVSSqlbMLLZbGibepA6jqNbEUaj0ZUZeNlsFru7u6FJCcFuZTVLUJWxUCjoYMlmFiDwyaD9YIuZainK5/O6i1eNFVOBR6fTge/7odxtvu+HUpaY7pVgChS1XaVGqdfrxi5u02xNlTdtcmbwZKCtFr5X7wl2S6o/JoLnEAwOTOdo8/mTk5MrwwBUrjc1g/Xt27f6Om1vb8+1tqapnmzNGu5gM6PU5j1pkNTanrT5GJzdYLbrTpo+F5Vw0/T5Zc0MM80YnTV2ZbK7Tj0sg+Xe3t5GrVZDs9nUgU2tVgsNhlddb2r8y7TWvVnjX9S5vn37Vpdhb29Pv14qlXRy0+ByOsE62tra0sGRCsBUq4HaR7FYRLFY1McIHlud7+TYwGA9TJtlGDwfdY6qJSnYYhRc7zFY98GxdY7jQEoZ6v6VUobuFdVCpwLQSqUSOgd1XqPRCLlcLnQt1azayWsdnAk5LXCaDKK73a7uYhdChIJGIHo8l813JuqPjcFggGazGVqObDgc6iBbdbsGg7fJWcCme95mvVuTqHGkakapaplUE36C97PNrNNVi7sEFd1sDM5uMFNQEHfQrM3n1YNuMpP35MywqOWdbH4JRv0FGzV2xVQ+9Z5PfepTKJfLoRxiwfecnJzgxYsXugxSylAZTa17qqVp2jilcrmMwWCADz74QH/+W77lW0KBTb1exzd90zeFMvw/ePBAB6IqW/us7Wq2ZfChH6yHYMuY2h5sGQOgA0G1f/UzADx48ADvvPMOvvKVr+gxZ++88w4ePHgQqueo+0ktRaSSEmcyGdRqNV0Pruvi9PQUz54909sfPXqE27dvA/hkVu3kvRCcVVssFvX4QABX8mIJITAYDPDq1Su9jzt37oRapoKBSXCySLCez87OQpNLJu+HWX9sqEkXQcPhUHdJBpd9Aj5p8RoMBqHvXNQ9b7ve7SymcaRqaMLkdQr+0WTzHnWsVbRcLTOPGlvnNhODsxsuyS5Bm897nodMJoNqtaof2plMJjR7LGofNr8Eo4K3WWNXVLBiUz5TGRuNBj788EM9+NrzPHz44YdXlq+Z9cBVLS/b29u6DKqFxnVdHB8f4+TkJNRleXJyguPj49AgbdN6hqqlKThbU52n53nIZrOo1+uhAFFtV62Fwa7V4NgoU3ed53n41Kc+ha2trVDr4jz1rBIGb29v6+3ZbFbXU6PRwMnJiQ6AVD01Gg19rcvlMu7fvx/KxWZ7LwLQ6VDK5bI+T5UeRdVzVGCiZqsGWyj7/f6Vepglm80il8tdSZocnIgyHo91jjZ1zwe7JG3ueZv1bmeJGkOp6mBnZweO44Rm7gaPr2adBq9PqVQKvWeVLVfLyqPG1rnNxeBszdn81ZT0+nGm/Ud9Xv0Sm5xNOflLTP3ynmx5831fp3yYlnrAFLypbZOLigfHKdmUL0q73cZgMNBdZplMBoPBQGeFV6LSAqjZneqBHuy+UQ9y9bAbj8e6BWdSuVy+0h2pzlcFBaqVJTij1Pd9PYBeHSuTyeh6UF2QKlu96noOdpFP+7zarupZdVcFx1DZ1vNwONSzdlVXWKfT0S1J6lrncjkddKjXg9daJdxVAY3tvQhcdJcG7yvgk5YodSzV7amupXpNfU6VWZUnGLgos+6V7e1tHYCr72SpVNJd7NlsFsPhEPl8XtfBcDi8kn5GTUQI5sWbrIeomZAm01Z6CB5fSolyuaxbPdWYy+B9AUD/oaKupe33flFm/e5bRh41rnKw2RicrTGbv5ripMpYVBmigjebX2JR3Y6O4+Dly5dXtr/zzjsAzH/BqqzvcQbrm+pBDTp//fq1LuPt27dDwV7UOaqxUUGqhQS46C7c2tpCu90OLVsU7DY0lRG4SI/w8uVL3eJz9+5d3a1oSnmiWqZevHihy3B4eKi7DE3doo7j4PXr13j+/Lmug/v37+Obv/mbr5zDZBe3OodcLgfP83B0dKTP4eDgQNdTqVRCr9e7ch2C19qUBmNy8fcHDx6E0jcUCgWdQ069R+UyU1RgHrxWQY1G48r2+/fvW90rqp6fPXumW/8++9nP6npWiXyfPn2qv5OPHz++kmbGVA9xqPqe7Bad5zvnOA7Ozs6uLBCvUo4so+Uq6vsUd0iIDa5ysNkYnK0pm7+aTO+J+5dX3C5F4JNfYpODg9XnG40GXr16pf96z2QyePXqle4S7HQ6U6f1dzod3aIDzB7IrsYpqdYc1T0XHKdk+iVrqgfVQlQsFvWDRLXOqHOM6lpVD+hgl6HqSgSAW7duTR1PFkygatOCqLq8VCoI1XKmHngqyAkGHUqj0cDx8bEe8J/NZnF8fIzbt2/rLsOobtFOp6PHaak6ePXqFQ4PD0P38+vXr0MBYrBL0Pd9NBoNnX9M3QvBh5ha+1Odw2TQG5VqQy3+Hkw18/7774e6p/P5PIQQoYTEBwcHOvhRqwMEj6FWCVA/T5sJqV4z3Stv3rzBBx98oFsfM5kMPvjgA9y5cwe3bt1Ct9tFo9HA9va2Lp9qhQsGiaoO1bWaHMcWVz6fD3X9BoNDm+9c1ALx6ntvmshjY9Yflja/+5LOo8ZVDjYbg7M1ZZumIuo9cf/yMn1+nuAv2N0V1Ov1MBqNrqyn2Ov19P7U4PLgQtCqq8rUYqOSxaruPNd1r2SdN/2SNWWFHwwGetxMMCu86nY0pQVwHEfPtpw1U/Kzn/2sXpZn2ioGpmvV6/X0mDNVT2rx8uA5BvNzBbu62u02zs/PQzMpz8/PddetTSoONc5t1qLiKoAMmkzmq+o4OOlABVOqO/Hw8HDqvWJKtWFa/D14P96+fVvfL+o8VEC9s7NzZQ1TFWiryQHBJLXq3ra5V9rtth7bqLaNRiO0223cunULg8EAjuOEcrE5jhPqAlfXSq2/qva1qBYZUz0D5u+cWiA+WE9qjJrat2kij0nUH5a2vztNQ0LiWEbrHK0Og7M1tYg0FXH/8jJ93uYXWDC5qfrrORjAOY6ju3iAi1aEdrsdSp+gxu+oVpDgmCxTi40ajFwoFHTXU3CwshL1S9ZxHL0eZXAwfLA1pdfr6ZYaIQT+f/beNEayLDsP+2Lft4zIyH3tquqq7p6emZ4ZsrkOzaFA2iAwBmFT8B+LFAGBkvVXoCkC8k/xlwCSAgwJEEEbBAxTgABaowEEgYtIAjNNij2c6p5eqroqa8k9MyJj314s/hH1nTz3xfJedmZ1ZfXEARKZGS/efXd79557zne+02w2pb1Oicu5CLMs3mOvz7i0UrqO0z5nCiGtnDWbTekT9rve9Gu1Gubn512V7+QqYx9oGZe8fRyFA4XWJ+1+0ySxwWBQrIP6GexT1nVSNglaOyclf7fX3efzjbQpEAiMVUz0ONBdq/FYOvn6NAoJui21pUtbpni/PfJX9zODVjTFhp2o9jLi1M+Uae8c6Tx0HTWdh9tAnknidLC8LlarWZaDz6/MMgS8pKI3bMo4mgqnBMaXYc93ut/NAjZNgWN5uVzOYETXHF9OSb/pQtKuRLqSWJ69vdpl6FboXj07OxO3qu6ThYUFow0a6+QmcXk6nUY2m0UymUQ2m71wRJbTWKXTaWxsbODk5AT7+/s4OTnBxsaGPIf9pOkfdD/Nzc0hn8+j3+/Dsiz0+33k83mjDXSV6d+Uubk55HI5ybfZbreRy+WM+53Y8efm5sRiRXcU3aq8f2NjA8lkUohZNzY2RpRg3QbdR07J3/mMZrOJ/f19HB0dYX9/H81mc+QZOtOCfgYTduvDiE7Y7ZS4fH5+Hpubm0YC+s3NTVGiY7EYEokEKpUKyuUyKpUKEomEQbvCfrX380XfiUly2XUHcE5SrwN52M/6cydxWpeuog1XJaHQLMvB51FmlrOXWNycmq6CKmMaoH/a/W7M7m4sLmtra4jFYhIFSFcfZVpicn7PHs2py08kEoY1TV930weMoqR7iJGJdGUFAgEsLy8bbUilUiNtiEaj0gZ7Tkv257QF2ClR9LRk1YyOe/31143k6lQSAoGAuAupVHW7XWlDKBTC8vKyQa66sLAw4mLXic/5OV2S2WwWkUjEiPbUlo5QaDo7figUwtbWFlKplNxnDzqgu5nPGIdDqtVqBoWD7v/19XXE43E0m01EIpERV1mn05GAAO3W1DxiTu/c6uqqvDfjKE/YB+NoJkKhEG7cuCF8b5FIxODcazQaCIfD2NjYMOhCdDQoIzwZVczv2PuJASIXpdJgH1w2cfo0Oo/LYs7cHCwvu3bOZCbTZKacveTiBtPg9J1p191EY06732kBc1LgiBnr9/sCiO/3+0Y50xKTE89kj26j8sPyqWD1ej2Ew+GR8p36wB5h1+l0JMKOykSn05FrtDxRdCJpkqheJJG0myTQ05JVEz+mk6sT3A4MlY5qtYoHDx7IWL7yyiuidLTbbdnI6ULSOL7BYIBKpSL93Ol0MBgMZBwsy0KtVhO3Jy1XsVjM6KfLHDY6nQ4ePnxoRKS2220JOiD/nM70oAMOgKHidnZ2hm63i1arhWAwaMyFVqslnG4cCyqDWnlweudarZYkbtfz2d5PtNDa+8nv9wsmyy69Xs9wKercn6ybxnnSxTlpvtJqdZH5elWJ0yfReVwWc+YWz3XZtXMmM5kkM+VsJhPFLaD/MjxngDPJ7DTMmFMdq9Uqms0mMpmMbJbNZhPVahWJRALtdlswPtrS4bZ8wDnCzqkNkxJJp1IpVxYJpwg+YHKyaj6Drl8dQUcXMACcnZ1hd3fXwM3t7u4Kg36j0RiLSaNFxs6lBcDARlHRsBOTjsM5fdrDxunpKU5PTw23JD9LJBIol8uimLEOpVIJ5XIZ+Xxe+lBHqtrHiePKsdCWGy2fNgrQqZ+cMJzRqHM6tOc9X93efxmr02UxZ8Dl8FwzDrKZXFZmytlMJoobQP9VnQ4nbaiXjTi1A8D5Ny0ZljVMrm0HqtNd5qYPnCLsNO5N54TUdeT/4yLPKJdJFO0mqXc8HpcE5JpUlm3UkXu0Mmqry7jytQQCAczNzY0lHiWmTSsNnwb7B0zuJz6XYwGckw+zjeOEn7tJ+B0MBjE/Pz/Cv6WB75eJAnTqJ6f7QyHndGhu5+u0fpgmbu6/7LpyFeTRwKePtpxxkM3ksjJTzmYyUZxwF5/F6dApys9NFOK0JM1Olgg32BOnCDs3ddRJw/mZJi6dtlk5RXvqfqBLlRF7uo7tdhulUkmu+/1+qWMqlRpLdEvmeSeLDEHZvN7v943rTlGMbmVaPyUSCSwtLY0Q7VIhiMfjSCQSI7QtxJ059SHbkclkEIvFREHU7bhsFKBTP7nFSk1KvO6mjMsmPmeCeQBj35erWFdedDTli37+TF5+mUVrzmSiOEUkkftKR7cRu3SVMo0Y1KmOTlFdtEQQF6QtFG7K5zOmRdg5lREMBpFKpQxrTiqVkhP/pM2KnFtuoj0TiQSi0agRpReNRqWOJPWklajX6wmpJ59x+/ZticDM5/O4ffu2kRh9YWEBsVgMfr8fsVjMCAhwc91t9Bu5xcZxjhGvx/nYbDble/l8Hqurq1hfX8fGxgbW19exuroqASSJREKiOzOZjER/so8Y1UgsXafTkehHSigUEmWdmC+NYXQbBTgpYpTXJ0V7uunHUqmEarUKy7JQrVZRKpWM77t9pwDIu3iRxOdMMH92diY/kUhkJNJyUh+5kYvMp+chL/r5M3n5ZWY5m8lUmYa7cLJqXYW4JaycZglwiuoCYOQR1J879YGbZziVYVnWWGvLRciCpyU1B855qvL5vFh9CPamq2oaqScw3HBI2BsMBsf2A4MIJlkIGPVnx2BR7ONgFyeX4Lj5yPkDQBTKSWS9KysrSCaTY8eRChmDUvr9OlkPrwAAIABJREFUvhH0QHF6Z4DJGSsok0iZncp3uu7WKuX0jHg8DsuyZC7YU1BNk3a7jWg0iuXl5bFJy6/K6vSiOcBe9PNn8nLLTDl7ycUNaNYp5N3peqfTEZyI/RnTrFoUJ4qHae3gglwul4UaYH5+3lio9YZN3JYdn3J6eoparSauKy2a8Z4Jn+1SLpcnbugUEtEOBoOx/TipDIb9k/uLgPuLuKqchImwdfJ1KjO09pBmQoPA6WqihYV19fv9KJVKAuJut9soFAoolUqyYVuWZaQKa7fb6Ha7RrCF/W9NY0FXK+cDLWP1el2+4/F4DLB8q9UyIkephF5EJo1jpVLB6emp9FG/38fp6SlyuZzwiFEKhcJYWhTWk5Yr4vB0G5mAnm1km+yRp5PeSQA4OTmR5+soSMuy4PP5JNsCXcsXwUJRwev1ejJfxyl4k957WtzpOrcnVncbKcm6TFv/nPrJ6f7LXv+0mLWrlKug85hRgnz2MlPOXmJxA5p1Cnm/zHU3Vi03FA9OCYQPDw/x4YcfyuJw584d2fDcWAK++93v4t1335UN+6233sLbb78tbeDCPy71EgB88MEH2NnZkTZsbW1JYnWK03emXQ+FQigUCiPXddLwaflH3fZzpVIZocJYWloCMHQ1tVotvPfee9JPX/jCF0Q5abVaqNVqKBQK8oxsNiuWNdKVlMtlmSs6hZZlDRO/7+7uShtWV1eFAsKyLDx48AAfffSR1O/27dt48803DZfg/v6+5OD0er1YXFyUOejxeHB6eoof/OAH0obXX38dGxsbVzJOvV4P9XrdaGMqlRoJJLh79y7u3bsn78StW7fw5ptvynytVCoj2D5ykVmWhadPn+Lx48dy/8bGhjHeu7u7ODo6kusLCwvGO/vuu++OvC9vvfUWgKFCv7e3h4cPH8r929vbeP311402OFkoj4+PR/ohmUy6eu8DgQBOT09H1hU76bKT1clp/XNa25zuv+z16yBXUceXoZ2fR5kpZy+puFFKnELWq9Uqzs7OjATHZ2dnxvVp99NyMykNixuKB6d27O/v4/Hjx4jH4wJCfvz4MRYXF7G8vOzo8tvZ2RHFDBiepN99910sLCxga2tLCGPtkWlsw/HxsWzWbMPOzg5yuZxYv5y+43S9WCzi9PRUiF79fr9sXnrD0hYU7UbS/by3F0a77cODByUcHpYFsH98bOF73yvDslJy38FBGfW6hXx+2Ib33ivD49lAr9dDq+XDX/1VGeXyMfL5PAoFL37wgw76/XMm+UePOmi1vMhmgZOTLj74oI/B4LxeHk8fltXF/DxQKLTx3ntFtFpeDAZDC+WDB0UUiyvIZuM4OKjinXeOYVnnlqq9vWPUalUsLQ3LLBTa+MEP6rY61FGttpHNxrG3V8Z3vnOCbve8z46OTtBslrGyEkehUMAPfnBqu/8Ux8cFZLNZ43oiYSGbbRnjRCoGLaRsoOzv7+PevXsGdu/evXvI5XJYXl5GpVKRSE5ePzk5EetbpVIRxQwYWqYfP36MlZUVxONxVKtV7O7uGoEXlmXJO7m7uyuKGa99+OGHgrcrl8tjy9fYO6d3stPpSK5aAMJhx3fM6b2nNUsLrYVaCZtmdXJDoXN2diZrhsfjMdY2p/sve/0i8rysUldRxxklyIuTmXL2koobHJJTyHqr1UKz2RTiUbqI9PVpFA9O7gdSPDBdz7hk1nRxTEoaXq/X0e12DeWv2+0K+aaTy69Wq6HT6YjrhASotVoNgLNVivkytfT7fSM9U71eh8fjQTAYlH6klcVNGY1GQ9yOAMRlxn5qt9s4OjqSDY0JqblAsp//8A/X8e/+3fbY/gDyAH5+wjVe/8aU61kAPz3l+jyArzvc/zNTri8B+B+nXHdThxUA/9Ml7jevLy3V8JWvnKDR6OKXfmkYPLK4uIjT01NRonVqMWA41nQbU/Rc4Nhq4eEIgBC+6veB7l2W32q1jHeq1WqhXq8jkUiIO1anY2q328ZcDATOc4QyB6iez05rS6/XQywWMyJ3yY8HnGfMYHvpWuZ8brVagi3TnHpuqTjc1JHKnj26WFPoTLv/stfdyvO0Sl1FHWeUIC9OZsrZSypuKR6mhbwTRK9PwK1WS8DYGu/ChZz4JMo090M0GhXANMUexeQUVEBFqVQqSR3S6bRYjpwUxHg8LlGKFOZW1DIJgB2LxcbSVOjNj3xgmlk+mUzKd5zKYBJqLWRxByD4IC2tVkvwYtFoFCcnEfzhH27gtdfK+KVf2oPHA6ytrSEeH252Z2dF3Lt3D7VaTfoxHo/j1q1byGTmUCgUcP/+PVSrVfT7A3i9QxqJmzdvIZvNotls4vT0RBQDRiHmcvOIRCJoNps4OjpEo9GU8qPRCBYWFhGJRFAqneHJkyfPlOA+fL7h89fX15FOZ1AoFPDhhx/IfOQ8vXPnNWSzWQBArVbFo0ePUatVVRsS2NzcQDyewOnpibhFWQbdo7ncPMrlMh48+ESCIxip+8orN5BKpVAul3H//n1YVgcHB3G8++4qvv3tTXzrWx6k08BP/mQab789j699bYBEoiMuSf0+RKNR+P1+FItFqePc3JzM+VgsNpZyRM8V4rE8Ho9gIXnd5/ONfaf4zsbjcUQikZHnc74zJZfuZ+YspTilPgqHwwgGgyOcdTo5e7fbHTn0necXDaPZ9KDRCKDdHs7xIY4xgmYTrqTdDqBUGg0aqdcDCIWAUimAhw+76PfPD3Ve7zDdWLPpfP9lr7trQxulUhuALqeNdNrEF3o8wMoK4L0gt8JVYFVnlCAvTmbK2UsqbkCzDHm34y40YWYmkzGuZzIZUQqCwSAikQhOT08NxUhbsaZJLBbD4uIinj59amCE9EYATA8qmJubQzqdRrlcBjBcxNPp9Ag+ZVK05vLyMm7fvo3vf//74hK8ffu2gVnjJsKNiIEHoVAI+XweW1tbIzgkDejnxnN4eChK6uLiUCkB4FhGNBrF2toaDg4ORPFZWloylNhxSrbuo9/93S9gMPDgN3/zB9jY6GF5eRmvvHLeDycnPfzd31Xx5MkTecb6+jq+9KUe5ueBk5M+/uZvzvD48WPph42NDXzta30Mse4RfPJJB3t753VcWVnBjRsR9gL29oIoFqn8DTA3F8TKyvB6terHu++WcHp6KuXncjm89dY2EgmgWg3i+9/34MmTE6N+X/xiEBzOahX43veKODo6kjIWFhbw5S9vIJEA2u0k3nlngI8++kQwZ7dv38aP/mjy2YYaxt27fTx+vG/gud58MyzX33sPePRoeP3v//17yGZfwcOHb+CP/ziAP/9zP771rW34fJvY2GggFOqLcsaNs9tdQL3+DbTbHaUABhGLxTGMM0mg0/nyiAIZDA7f234/h2bzZ0cUyEgkCq8X6PXm0Gr9ODqdc4tGMBhAOByBzwf0+0uo1X4OrVZbKbkhxOMJeL3D8huN/w6dzvn1YDD0jCuPJYbQ6cxNrOOwDbeM93SIN2Ub0mg2334WkepFp+NDtxtEtztUjBqNBAaDL+ByEgKwMOV6GsCPXuL+y153I+7L+Kf/FPi937tg6RcIrHieZczk08lMOXuJ5bIUD4FAAPPz84jFYmOTfjcaDXi9XqytrRkpUHSSZCfg8MLCApLJpJTP+mqQdzKZRDAYNJIsa/cBE5tTacrn80YZ06I1LcvCq6++KtYfJoLW5Y8DJ2v6hddeew25XG5itGatVoNlWZifnzfyKdZqNenv1157Del0emwEH4lF6XINBoMGpi8ajQp7P8uPxWKivP3H/wj81V9F8Q//4QFu3vQhGIyMEILSFXXz5k0ZS9Jm8HoymcSrr75qBHdod5vP50M2mx2b0geYTkNB0Dj5uwKBAFKplCiZrVYLyWQSKysrUibL0kEJmUxGcE/k+NKuqlu3bhmUIvaxXl9fF5d9OBxGJpMxrq+trSGTyRhJxb/2tTZ+7dcCKJXq+LM/6+Df/3sfvve9IAaDAHo9L5rNgSg2vR7Q74fg8wXEAtnve9FqAefsICEMBj4Zy17PLxajfn+g7u8/s7ieP6PfB7rdIACfzNdu14dWC8+uD+DxROH3BzEY9OHxeOHx+NX9AwwGIXi9frl/MPAZbRgM+uh0Buj3fQAGADywrAG63WF5523wSxt7PZ+tDUF4vX6Ew33kckA83kcq1UUmE0AyCSQSQDDYgt9vIRDwIxymkn8x6XbPIRd+f8D4vF6vo93uoNfrwufzP1OSYyPfG3f/VV13qrt2J1Psdfzd3wX+5E8uVLTIVdB5zChBXozMlLOXXNyEak9LDtztdgWXYVnWCH8VN2fiRrT7zQ3b+bgky9okbndr0oWqMwBUq1VxvwDDQAe6utzUoVwuG4nTy+WyKG+dTgdnZ2eG5e7s7AwrKytGmZPoMyjaTUS3kRYSfdJqqJNZsx4ApJ/4PzAcp2AwiGq1aihOQ2wN8I//cR9LS138+q+fIBgcKmWFQgHJZFLGnZggArmpLGl3Wq/XMxKT+3w+ud5oNIQ5n+NYrVYNRR2YPNcYdJFIJMbm7vT5fOIWJnavVCoZ0XXhcFgwVwDE4qmzHHDucP5w3Hl9f39/JIqQ0Zicr5FIRKyeer5GIgHcvv0Uv/7rZmqm7e1thEJDzavd7uHRoycjbsvNzU2EQn4Z+0kHmna7i93d3RE3/zA5uw/tdhcPHz4USo9AIIBcLid1aLe7KBQKI/2fzWZdXQeAs7Mynjx5MvKd9fV1ZDIZ9cl4Lrrpz9Df88CyPAgEvK5dgaMSePYz+nmpBDQatO51EY0GkU7bvzvp/qu6Pk1YR/tcMMu7fx/41/8aqNWAC9DJiVwFncd1oAT5YZNZhoBrLpPY0K+qbCYHjsViSCaTRkRaNBpFJBJBr9dDu92WjYtKklOGADu+jGVelCuNQQilUgmtVstQ7tywiRN8X6lURsD5vV4P0WgUPt/QkuHz+RCNRkcwYMViUULz7TLEXuUEp+PxeJDL5UbS0XQ6HeM3+5mUJJo9X4OWOU7EFoVCIRmnf/EvgL09L37rt3YRDJ67Pe0KYjAYRC6XQzqdRiKRQDqdRi6XM1zY+XxeMFPRaBT5fN5wYVOZ6nQ6Rn5KLZPmKwHZxFIx8IKWs2AwiGQyKYeEwWAgFlXdhkwmI5xstHzxO5xvup/1fKvX6ygWi8LP1ev1UCwWxXrB+yex8zOLAvF+rVbLyKLAMpj5gNxaOhMC+dwajQYKhYLMA91fnEPsNz0XO50OisWiWIgty0KxWJQ6aDfU2dmZWBD5fLfvpI5e1n+7GWs3zyiVSigUCqhUKsKP57Z8t8K5Tsv0OKB9tVrFyckJqtXqp3rGZSWdTiObzSKZTCKbzY6t40//tIVeD/jLv+yMKWEmn1eZWc6usTxvfhlu/pOSA1MZ0MmwU6mULLJuMgQ4sfc7caVZloWzszOhH6hWq/D7/cjn82IZmwZebjQaKBaL2Nvbkzb0+33ZMMPhMBqNxghvlHYLOnGIcUOvVqtSBw0CZ5ocuzWFvFC0DtqjMWkdHMcr1Wq1cHycwu/8Tgg///MWfuqnatCxDPZch+zPVCpluCd0P7PuzH3IzZ+bbbPZHOHf0pvwtPkaCATQ6XTQbDYl+CISiRhWLU0ETDC8XRGv1WrY3z/HjAUCgZHIsUlZBqhQtVotI1JRRw+z/8cFh+jgmMFggH6/L6Sxel7zfeFBpV6vG272x48fPws8GI7DzZs3Db43gv7ZRk0SS6Xz+PjYmK+NRkPqwHYyUX2j0TDWDSc3FRV0e/J2t2Pt9Aw39AylUmkkgvrT8HMxwTujaC/Cg/ZZyTSrVKlUwp07TQBL+E//qY0f+7HGle4BM7m+MlPOrql8VknFp31OnjMu8rQ05PN52QicrF5O7P1OXGmVSgU7OztGuTs7O1haWpJITtZLL7LaWrK3tyf0Br1eD3t7e+KisSxL6ERoMWk2m6K4uuFqKxQKODk5MbILnJycoFAoYHl5Wdy1Wgj4plChYBt0loJxvFLlcgW/8RtBBALA7/9+AP3+5MAP3kP3Na2EtVpNmO0bjQYeP35sWBVrtRry+bzg3SqVCkKhkLC60xLphvep0+ng6OjISCpuWRZWVlbkeqfTMXB18Xjc4L6yz4VOp2PMBdZBW3p0Hbxer4wzx7LZbMp3eb+ei/p+9qGmZ+C7QalWqygUCvJZv983XMylUkkUM2D4Tty/fx/Ly8uIx+MYDAao1+uCCeQcZnmWZYnLkNcLhYKUV61WcXh4aPRzp9MZcTc7ualoUdcuaD133axNk57hRM/AbBP60Nduty/Mz6XpZ/iZ5kGbxuF4HYT9nEoBGxtdvPNOEI1GYcYx9kMiM7fmNRU37rrLipP7oV6vyyJMKwQtZaxLMplEMpkUS1AymTTccdMSdus6tNttVKtVybun3UBUXACI4sIynFyzxAxRoaC1ha4ins7z+bz89Ho94UEjh5gWcpBR6vW6ANT5Q0WDdSZFwrj/maWAkam0umneM/v9f/VXq3jnnQB+67eA5eVh4MfW1haWl5extbU1YgGgJU27qki1AkAwZlpowWE/BAIBxGIx+aHllG0YJ/ycGy0VCr/fL4oIx6HZbCKdTstPs9mUceBY0y3KNjEogc+a5mYPBAJYWVkx6rCysiIHAaf7+/2+0KKwD2OxmDE/Wq2WWP34HVo6gSFObpzwc0ZnagmFQtJmv9+PRCJhlJ9IJKRNtVrNwAYyVZTuRyehNTudTiOVSol7UCuUk+5zI06HQm2NZxv0WuRGptHP8O9JHJDXRXR/fulLHXz4YQD9/tXuATO5vjKznF1T+az4Zaa5HyYln9bJwRuNhrgO/H6/QXPhRDBLqdVqqFQqhquK1rVYLCbJtGlRoZLAZwCTXbOJRAKRSGTEbcnTMTMEaFdXIBAwIiVJkKn5vbRSS8VJY4+IHeMzxqWI0i49Wh1pidQuvXA4LO7PYW7KIP7Vv1rHjRs9/LN/Nn6M7MJk41SO7ZG5jAglSSpdfmwnuavoLqP7k9ed5ivd43arE+cSrXk6etTumqTrTydn10ELQw6r5khUK+djOByW+c4+0Lx9vL9cLhtufN5PhXZjY8NwkWurEiONteUqkUjIM2KxmAQc6Ht1G8a5+dmPsVgM6XQafr9frsfjcYMHbZxM+nzamE2yZjtBCZyEc8++bug1YZziNE6msetPo59x4oC8DqL78yd+ooM//uMo7t3z4yd+YsYx9sMgM8vZNRW3wN2repY9VyMwJGudm5szLBVzc3NIJpPyHbp5aOXQJ3Qqb8ViEaVSSRIh60WH7gXg3E1TLBYFoMu0M5ZlyUKsU804KQXc7GKxmGximqZibm4OCwsL6Ha7gvNZWFiQDZnWrEqlIj92nrXl5WXcunXLsMjcunVL6DJIIUKFy+v1Gq6JUCiEfr8vbsJKpYJ+vy/XubmXSiVUKhX89m/PoVj04/d/3wd6P3d3d7Gzs4P9/X3s7Oxgd3d3pE/ofi2Xy+J2pdBNyzGs1WqG65bUHUdHR9jf38fR0ZFBXuo0X30+n1hfWq2WWGeoNNBCo+caLTeUfD6Pzc1NURy9Xi82NzeNSFqC/s/OzgywP/vRsiw8evQIe3t7ePTokdSDcnZ2hr29Pezv72Nvbw9nZ2dyjXk0P/74Y9y/fx8ff/wxer2eUUcmW9fi8/lEyVleXsbm5qa8L81mE5ubm8ZciUajQhPC33ou6OwexLuxDW76EZgOtncaSw0l4Hvd6/UuvDbxIKZd+HwWlVzOFfuBCJgeVMC5abdWswxyQNrXtuvi0gTMcfjxHx+O0zvvjK7TM/l8ysxydo3lRfPLhEKhZyzzcXHbkWcKGLoOdPJnupw0vYITJs0pxVS73RZLF4MK6Aal5WMaSSL5s+gm5GagQdy5XA6RSERO8Zokt1qtwufz4c6dO3Kdn+uF/M033zS40DSPGeAMkGYQwTgOsXa7jVgshqWlJdy9O8C3vrWEb36ziR/5ES8Ad/gZRhnSOsYgjXK5jHw+j3a7jXQ6jdXVVeGDS6fTUgcqzBsbG2Lx4XOZPH1aGzudDgKBANbW1gwLpY4y3NjYMDj3mAxcyzTOOdKAkBZEpw1iGyqVikQgEzfHHKZMSA6cW5qoEM/PzwvQP5FIyFwg4J/1JN/dkOakJe5+jadaWloyrjNFF8uY1o/DDA59bGxsSBsYjEKL28bGhlH+4uLiSKSk3WplB5lPC+TRUALNf6jbME2csIGhUAixWExcxHwnLxJUEAqFkM1mJWAkEAgYidmB6RyQ10U4FxIJC5nMAH/911Hnm2byuZCZcnbN5Sr4ZRgJ+GkWIKdoS+A8upAcVRRuZFS2eL92a4bDYfj9fgHhBwIBRCLnJKqkVaD1gRuuLiOdTgtOhW4fCsvREXb6c8uyhNNqHFEu3Z0U/n2RPIBOYlmWuE7ZTzoKkW6ycrmCf/7PbyMa7eE3f3MPlrUodeT97EOmCGId6SbU7lmdD5FkvKSG6HQ6koaKddA4PiovdvwLgdx2BdXr9co84fO73a7hEkyn04LnmxaZnEqlDJfsOCEtihZt2aWCqK2EpLTQgRma5oJW32w2K/1MUmY7Lx/pLeiS15G3wHlEJN8Xu6ufGCu7tZzzkS5gusDt85GKj50Co91u4/j42JgHnU5nBGReKg2zOfCdsBM7s2zi60i87GatchMQ4Pf7JWCHByqt/LEOnU5HvqOjvCnEnlFJtgvH59PCRa4iablTGdwDvvxl4L/9t0/1iJm8hDJTzj7nctlw8WnRltFoFB6Px4iq0qb4QCCAk5MTnJ2dyYbebrdlowKG7oVKZYBf//U11Gp+wX1EIsMyBoMo2m0fLKsLspUHAv5nIOlhGc1mE51OFINBFB4PEAw2ReECEmg2X0G73cJgMMxTFwqF5fp5+dGx5fd6c2i3Td6zIddYGHrvbzYbaLXCGAxCz9rQkDYAQK/XRb/vATDcjL3eIWs569BsetBuBzAYJFXKnsizOkTQaCyh0cjj6dM4fvVX30W7XcNgMEz9Eg6HUSwWcXh4aKTJ2tjYkOfT+vno0SPZlG/evCk5FzudDg4ODvD06VMZq7W1NZkr8Xgc/X5fCHuZ6kvnKL179y7u3bsn5d+6dQtvvvkmgGGKq1arNZIe6nyczLlKF7h9rk6jcGC2gOPjY6kjuduA4Ubc7XYlmpJKk+ZJCwQCODw8lDpqq1M0GkWtVpOIUb/fj62trRF3G12jOtJxc3MTwPCdGJeRQrvJp1G30N1H3kHy3mlOvQcPHhhzoVqt4o033hAqjmKxiEKhINez2axY+1jG48ePjVyx9XrdIHbW9Dak2jAJaieLExSB1kg7RY+GXjjVYVw/1Ot16QenueRGroLq6CJl/PRPA3/6p8DREbBw2cxRM7n2MsOcfY5lkrvLLeGim2hLAq4zmQzm5uYMlyATNNMKMEyn0jaA88ViEX/+517cvbuAbjcMjyeATqePdruLXg+wrAE6nT56PaDX86DXAzqdPixrgF4PaLUstFod9Pse+Wm1Omi1rGff7cGy+vB4AvB6/fB4ArCsPjqdnqvyh2V6MUyX4wPgQ7/vRb/veXYP0Gp1UK+35fu9HlCvt9FqdZ49ow/L6sv37Z+12z00mxa63WEdul2g2bTQbrOOwzb4fAN8/esP8ff+3n1Uq1UZR8uyRqwR9s+q1SqazaYA3FOpFJrNppRRq9VQr9cNPBcB/ACEiX6YLqgrRLvcUPf390UxA4bW1Hv37mF/f1+e3+12JaKXLjE+381cdZqPpN1g+0ipwvlGq50mkaU1D4BE88bjcSSTScTjcYny5fM1iTHJjfX7QLyb7mfi31jHcVGErCOpW2i97HQ62N/fl/sJ0rcsC91uF5ZlGcD9QqEgCgnreHh4KPjCVqslihmvFwoFo07lclkUM45FqVSS/LYk49Vl2Ml42V+fhqSW0Zn2aE0Nf3Cqg1M/uFnbpsll7/80Zfzczw1//9f/6voRM3mJZWY5+xyLE57LSbi5a0JMO0FsJBKRHIz2aEwqZfqkTCVNE2a+997Q+vJ7v/c3SCaH4NxXXnkFq6urODkZblaaJDUQCGB5eRnz8/N49GgP77///sgp+4033sDm5iYOD0/w0UcfjbTt9u3bWFxcdCy/Vmvg4cOH2NnZETfV1tYWtre3xWp0//5j/O3f/u3IM77yla/g5s2bqNUaqFQqI9epAOzs7OJv//Zv0e125ZTv9/vxla98BVtbW3j8+ADvv//+szyLfXi9SaF7YB8GAgEsLCzI/cT+0SJDJYJcWnTZETBPRVpHq2lFmt+7ffu24ZbkWNbr9RE8Ia9zLumcnrzONriZq07Rv3T5MeKUv1kGN77BYCA/eoNktojzfh5GZ2ralX6/L9x1VFR1EAznke4LTcfRarXE+qQta7qOjUbDUKy73a6MJdtQKpXEFRaLxQRXRxiAvR9ZHi3TTH3F/3Ukoz07hv3zVquFSCRiRM0yiwfH6jIktbQca4VR04m4qYNTPzi5Vp3ksvd/mjK++lUgGBzm2fzlX3b1iJm8xDJTzj7HctlwcTtzPcukW5IUEBrbMhgMRBnjiVdjtuyLZjQaxccfD5DLNeHxVFGreYwUUeTmYkQjn8M2BINBY2Pnhk5LAjc/XQdah3T5wDlOiZsyMFR89vb2jLRJe3t7WFxcFOWMaZf0hmyn0iDeSyd3Zz/phVhjhHSEXiwWM/qSUafsQypk7KPBYDBC96F5xex1jEajwolFSSQSUgaVIPK+EdDPfnTqA0arcvy165bjQDoSbrbsJ4pTRgpShbD9xIOxjlRYyYVHfBs3/aE7PQKfzze2DmyLfh/sASTxeByZTMbIg5pIJGSusCw70bCez2ybHkvOZ7ptg8GgAPGPj48lFywjN5vNprRhCCg/z7Eaj8cNGhAC8HUbEomEAUfQLmyOlaac0etKu90Wsl/ezyATN4oLwfvkC7S/L27qoN8ZPVc0hQ6pLMPpAAAgAElEQVQwevB0iz27Cqqji5YRCgF37gDf/a7rR8zkJZaZW/NzLFcRLj6OAJZC98SkXITMfajvZ25ESiwWw9OnCaytVcTqoN2j5Ck7OzuTH73ZJJNJrKysGHxZKysrAv5NJpOYn59Hv99Hp9NBv9/H/Py8XCedw/7+Pg4ODrC/vy+0DwBEWSgWi/LT6/UMFw6pNMLhsGwkdiqNer2Op0+fCq5LR/glk0lsb2+LcuLxeLC9vS11JN0HN2NytWm6j7m5OaEWKJVKIzim5eVlvPrqq4jH48Jp9uqrr0odk8kkbt68KZtwJpPBzZs3jX7UmQLq9bq4/3QfTKITiUajWFpaMnJ7Li0tGdQG0WgUlUoF5XIZlUoF0Wh0ZK5Oi/4NBoPwer2S3Hx/fx9er1cUm1QqhUwmg8PDQzx+/BiHh4fIZDJCM+H0vji1kWNBl22/3xdXLsfC6RnRaBTZbBblchnFYhHlchnZbFb6iQD8SqWCarWKSqUiijmfn8/nJWig3+8jn88bz19ZWRG+tVgshpWVFaOfE4kEUqmUKCvBYNCI/HVqA5V4O4WOthSVSiWhczk5OTFoMNxQdTjVYW5uDuvr61LvVCqF9fV16Qcn+honuQqqo09TxttvAx9+CFwjrtyZPCeZWc4+53KZcHEy19vJU+1m90m5CKPRqCQAp/uCygHl5MTCyUkc3/wmsLm5KZGGOnKLSbjHUWkEAgFsbm4ik8nI9VQqZVilSPXBNuj8oNVqFfV6HfPz83KCrtfrQk1Al1MwGBRLA6Mjtayvr0vUaSQSMTZs4r10Ohzivci5Fg6HcfPmTSPakm0gzQUpQMLhsKQrYh/5fD7k83mxNGgqDsra2ppQS0SjUaytrck10lzouZJMJo1TPC0amixYyzQ6kUAggKWlJYMShRYctnEwGEiGBkbl2iP0qExrIl3OFVpBMpmM4XqlIs1E5DraMhQKGfOWgQ96vrptI8fa4/FgYWHBiNbU1CvT3km2YXt7e2wbqIBqS7JWQDlXbt68OXauOD2fZfT7fWQyGYOuw20ZTpgxp/RMGtvHiF665S9ChfHKK68gk8nIfNeHFSf6GjdyFVRHFy3j534O+Df/BvibvwF+6qcu/LiZvEQyU85esFxFKLaT2PPquRW647hI0nKmN9RpuQi5edJVRlebbuf3vz9Ucr7whbpsAsTDAOfJrmn16nQ6qNVqQvFA19hgMBArjnafkBohFosZmyUXYUaFUXq9nmwOVJyWlpYkes7n82FpaclQTNgPmi9K9wOxUNryqLFQBImTVZ5uMwLc6Qpk2iT2JZUSgtv1OBD0rvuBLj3SONjHKhwOo9/vG+4r3k+Llnan0cLF/JwARpQVih4n7epk+fZ0O+wH3Qa62avVqrwzOkF8r9eTZ3CzJacZ+zMSiWBpaclwW1LxoTuO1knm4rS74ya1kf1OJZABBuNwnpPeSaYbo1twMBgYbQgGg1haWsLx8bG0IZ/PG5Qc7FtNiGs/UE2jkCDuTdeJn7kpwwkzNi09E+fz0dGR5JP1eDxoNpvI5/Mja6TT2ma3IFP4TtkhGRfBjLFdl123L1LG178+/P1f/ot75eyz2GNmcvUyU85eoFxFKPbzlFAohFqtNhLWv7i4CMAdX5HP58PCwsLE0+k77ww3jzfeGC7k9ryTg8EAZ2dnI/QGJD4Fpp8+LctCpVKRjYK4LxJ2usGkRaNRrK6uGumbtGvWqR+csH+tVguBQABzc3MGro4buhtsyrRUNazLOPygJuac1o8aZM//Cc53K05WgnFpj+zCjVunmNLtYRkaF8d+jkajknZKB07Qkkt33DickttNLRwOo9Fo4PT0VJ5B67Hb+wEYfa0/Z9SsJobWVlYnXB7gbt1xmk/TynBKQQVMT8+kDyq8Zp+7l5WrwIy9CJmfB9bXgb/8S3ffv+57zEwmywxz9oLkKkKxr7Iu40Le6Y6jtSsajRr0CyTh7Ha7aDab4oLQfEXjRH/+/e/7MTfXx8ZGSMDV2t3VarVkgeHpulQqjSzUodD4FFTEJXm9XvR6PakvF/5kMonFxUUjVc7i4qJY4Wgp0tQGmjyU/TBO+DnxMaRx6Ha7Bj6GypvGz2jljX1PRv9Wq2VYIJmqhlF93W7XSFXDfrCPL12JWjqdzjPeOJMWgUqKxlsRdK2lWCwKX9k4qdfrKJVKhrWS5dkVvV6vZ2AcqWRns1lkMhlks1m0Wq2RSFgq3HYS2rm5OSwtLRmpupaWlkRxGQwGaDabMscajYZhxXXbxm63a9TBHsU6TYLBoFi9+MP/gXMLJPOOejyeEcueVqD1b8AE6xMn2mw2jblBTCJdmbSmcj6RmLdWq+Hk5ETWDpbB+UpLlN1izvRMzGPabDaN9ExM5q7fB53s/SrELd5rWpqrFyVf/Srwd38HTEg3KnKd9piZXFxmlrMXJFcRin0VMi2VC/P3cYOia5EWHboF9/f3xaqlLWs8xU9KjA4AH3zgw+ZmQ/IU+nw+bG1tYeEZy2K73Ua1WjU2mmq16nqBoQtTk69ubm7Kwk/3y9OnTw28l8Y5Ecemr+tx4kI/KYUUMB3LxI1nZ2dHrC1bW1uG5ej09BSPHz8Wa0m/35dx0q5BKh32RNK0oNRqNSNDgLaITCMsTiQSCAaDOD09lblAcD/lwYMHI3PhlVdekevTyFWZjUBTTFAJofT7fdRqNTx58kTasL6+bmRt8Pv9hsVmXKouzTavrQgejweFQmGEiJcEsk5tYB04b3S6r4vQ1zAxO8daZ6ygMFDHroCSoPbk5MRwe2r6GyfrIHF4tVpNytAWVssa5if95JNPZD7fuHEDr7/+unxnf38fn3zyifTBjRs3jPna7/cF6G/HgfKwoWkyxilTlxUnS+51tTp9/evAf/gPwP37wK1bk793XfaYmXw6mSlnL0iug1m93W7j6OjIsEJpYC7TNtlpKrgh6DQ1XESLxSLy+bxsREyPw41AW0JaLWBnZ4Bf/MWCAPaB4cLOaEQqAuVyWcogvYAbaTQa2N/fN6Ln9vf3sbq6ing8juPjY+zu7go+x+fzYXd3F4uLi8jn8+JS0e62fr8vCijFKXdmo9EwOL403ou0C7lcTu4nQWsikUCxWMS9e/eMOrTbbcHTVKtVHBwcoF6vo9frwbIsHBwcGONA/KDGU2m8kFN+TkbOVSoVqWM0GpW8lMViEU+ePDE2fYLzeZ1KDTBUtPb396UNblxhlmXh+PjYILo9Pj6WTYiBFrpdzWbTIJGdhpGsVCqC5RoMBuj1ejg+PkalUkE8HndsA/uNkYcca03o6iTEX+m5YgfTT8tLyXdFu241OasbgtdqtYpGo4FEIiHvdaPRkPlYKpVEMeO4fPLJJ1hZWZF3amdnxxiHnZ0d5HI55PN5yVCQSqWkjoVCQeZSIpHAwsICCoWCzIVsNvtccl9Owns55e58kUIy2j/90+nK2XXYY2by6WXm1nxBwpNgp9MRi8dFQ7EvK3YQNnAOJAcgic7tVBjc2OhmJOkmgcN0WXETIR0GLUQs//33h4z4N2+eiiuPfGAk9hwMBsjlcpifnzd+2ze7arWKk5OTkewHrVZLXDMAxFXDdjMqjIEOfr9fmN+B87yhWuwko5RJrlUn9y4VYEachcNhIzCgXC4LWJo/jUZDGNvJ6E43lWVZBqO7fp4eK12vaSSwwNCleHBwIIEh3W4XBwcH4lJk1Kt90+d4cMy1O01/zveBrmX+tuMHGRQRDoflb7bDab6SxFbXwU4QG4lEJLcr/2YfkONNC7nSKHymvQ52zNYkIZheiwbTO82lXq+HYDCIWq2GarWKWq0mJNFuymc/6AAW9hn7gQov3ar8u9lsAjh/pzjHiFfU6wIJiPkduuQpq6ur2N7exvr6Ora3ty+Ucu4qxA0k40XJ7dtAMgn82Z9N/95V0H3M5MXJzHL2gmWSe+KzkmnAXyfwsc/nkw2AJ+B4PG60pVarjeQypHznO8PfW1snxnc0hQMtPozCowKnT3/T3HF0QzISlJg43k/Xno4Mi8fjBpaKlB2a0f0i4nSCdQoYILZP5xHMZrMG+ea4+/VYclPRSer5uZugBW7QWriBs47j7mcdiVfU+RrT6bSxeTi5mWKxmIyFppHQZL+XAcvzeewftkW728YFj+g2aAVbU45chPh5mgXRaS7xnaxUKjJfdQqqixC8TpoLsVhMAnsGg4FEMXMciH/U0INQ6Jzo1k0/Ap8+yvwq5Dpbnbxe4ItfHNJpOMlV0H3M5MXIzHL2gkS7J7j5Pi+w5iRQK7Ed+pSvgeQEH4dCIdkwtFmfCzI3SW6U3AjokgwGgwiFQrIhcNH/678GotEB7twJGdYK5kQEIMEBlmWh0+mMYLbojmOgQrPZNHIyzs3NYW1tDfF4XH7W1tZkQ06lUoJDossvl8sJMSlPmtqKcFH8i9MJlgEDAMQipwMGgsGgKIwkDo3H42IRSiaTyOfzgpULh8PI5/MS1MCxYLJsWix0QADroEHgdlJPJhEneFuTm2azWSwvLwsPVzAYxPLyspFNgiBvRnpOi0QdJ/l83sALejwebG5uIp/PSz87geWnkdgyO0C1WkWpVEK1WhXsG/uATPxUdldWVgwMZSKRQDabNUiRx7nkJgUVOFkQeX0S8TOtVJwHxHfRchYKDTkLT05O5OeiBK/ZbFZ4/QAI9o9jnUqlsLGxYVzf2NiQd2pubg7Ly8vGXFheXh6hvHADxn9egP3rbnX6yZ8EdnaACTEpM/kcyMxy9oLkswJrTgO1hkJDQk4u2D6fb8Qt50RTwSwAOhehdrGEw2HDskZCWAC4exfY3u4ikYih2z0vIxaLGW6YdDotkZLBYBDpdFo2jlarhWKxaODa4vG4EJ7yxM6ISwLhNbg5k8kAgJSfyWRkHEKhEBYWFnB6eiog8lwud+ExcjrBxuNxUUCpjFFI98C+8/l8iEaj0gfcTFutlpRvzwRB952meFhcXDSsa3bXm/6fSkepVJI6aqUjFAoJ8Jz9pHmpSNyrOcZ0TknAHQB7aWnJSAdExUzLNLD8OKsRx7rX6yEWi2Fzc1PqqHNrAudZL/T9dimXy9jb25OxoKJKcQqccGPtmET8TBe9TkuUSCTESkUCWLoumfh8fn7eeM40glfLsrD5jPiZ48CAGQYdrKysGMTQmiwYGAZmeL1emSt2xczNXHjegP3rbHX6xjeAf/kvh5Qav/ALk3nMrmtQw0yc5bkpZx6P5/cB/CKA48Fg8Mazz+YA/L8ANgE8AvDLg8HgzDPcBX4HwP8AoAHgVwaDwbvPq27XQT4Ls7kbUKubBWgSaFaD5TWrOzcMn8+HTqcjyhb/H+YuHEYbffObw1B+7TbUIG4SRWombx0Q4ARwJhaN9QGAk5MTAcsTV6W5y8bhr+j6uYz72Ql8rK/rcaJLlq5D4uI00J3kqtzsGPHH8kiRkU6nRTnTlBnVahWFQkHY5wGgUCggmUxKQEC1WhW8Fy1MBHHTgqEDK2jRYPRfuVxGuVw2FHU70F2Lfa5qxYLjVCgUDGb5aWB5u1tTWwg5Pzwej2C0NKZK9xEAsVrqPgKA4+NjPHz4UNrY6/Xw8OFDZLNZAcNPC5xwO1cmBTV4PB6JsgSGB6RarSaKNvGJ7Pd+vy/4RLuiO8mtGAgEUKvVjHHw+XwGzxmtcdqiZyev1u+cboPbufBZAPYnjcOLlh/7McDnA7797Ra+9rVz85lWvq5zUMNMnOV5ujX/AMAv2D773wH8yWAwuAngT579DwD/PYCbz37+EYD/8znW61qIW7P5Zcz2tGDpoAP9OeXk5AR7e3uixNhld3cXH3/8MXZ3d43PddJrzV7Pz4PBIBKJhMErRUqGTz4Bmk3gR35kIEoSsT78DgDD/UUMk50Die40bqx0mQBDcDJB7HozJDiZljZmIrAsC/F4XO5n8AAjPQmMHjcek4ISKJPGkkB10oYwq4EGuqfTaSN3ZzqdNoDuVOBYR6bZotAqZHdhcxNvtVoSjEE+Mf4PDLGDpVIJzWZTKFZKpZIEbnB+0YXGbA7cHLg5020ei8VkE9d9QCqLQqFg9AGfUa/XUSwWcXh4iGKxKEEpLMPr9aJWq+H09BS1Wk2SrVN01C5/U4LBIHK5HACIpSmXyxlZF4jhAiBYLh1Uo5UuYvJ4YOAc4ZwkEF4HTlAmuT3ZT2dnZzg4OMDZ2ZnRTwxA0EETOiCB3HGa928cx5yT0B3JZ+r7ndY2J7C90/ugv+u0tjmtn5d1izq9889LolHg1q0+vvMdr9EHGhrjFABzlfK8+eCuI9/c85bnZjkbDAZ/4fF4Nm0ffxPAzzz7+/8C8OcAfuPZ5//3YHic+67H40l7PJ6lwWBw8Lzqdx3kefPsMN2NnRVeg/LfffddfPjhh1KHO3fu4K233nJ1ne4jzRG2ubkpmxexYgShc2EIBAJ4551h+T/xE17hXuKGpUloA4EAisUiHj9+LG6ajY0NcROFw2GJ7tScTDyR+3w+STquuas0QJoboWbn19iis7MzA4w/Pz8/4v6dFpTgNJaBQACnp6cj99OSwnFktCSVAt1H43invvSlLxnjDsCgLNGfh8NhnJycGP2wurqKzWccX4FAQJjbKXbMmKbjYBsoQ2tpD4VCQepIFyXLv3///kgbfvRHfxRanjx5MpItgjlCA4EAnj59OjJX3nzzTRlLYHJQBLGf0WhU7tekyuFwGPV6fYRnTbs2CYbX1C+pVMoIWqCLnmKnDJnGpRYIBPDw4UM8fPhQ+mB7extf/epXjfHUCqT+nAePjz76SFyzb7zxxkgO0WnCw4B2ndrdltPWNievgdP7wO84rW1O6+dl11end/55y1e+0sMf/ZEfp6dlsEt11g832SKuQp636/SH1TX7WQcELFDhevabdvQVAE/V93afffa5l0n0C27ZnZ1OFFSgAIhLjLK7uyuKFzBcdD/88EOxkDldJ8M3I8r8fr8wfgNDKwIzBxB83Ww2Ua/X8c47gN8PrK/XhOSW7kp+Bxi6YXZ3dw2aiN3dXYNG4v79+zg4OMDx8TEODg5w//59uc6oMe32bLfbYjEpl8s4ODiQtE6tVgsHBwdyf6fTEZwWLUKnp6fG5lqtVnF2dmZYZM7OzkSRcRrLTqcjdWIGAZKQso50TdHVVqvVpI6FQgGPHz82xunx48figgPOE2brTAc6YTbJhrXozzhPOZ/8fr8xb+3gevY9+73b7YpLku0kjxUwtN4eHx+LW9Xr9eL4+Niw5tJKpsdSU7eUy2VR3IChInp4eCj9xLFn9GQgEDDmBjnCNMWD5gizLEsA9Cz/5OTEsEREIhHMz88bgRPz8/MSVJBIJLC4uGgEDCwuLor7cBKXGi1ohUJB0lfx+tHRkTHWdIXTxazXlmq1iqdPn8omHYvF8PTp0wtZfjQXWzgcht/vH+FKYz3GrW1OljW+h1r4fmqZtrY5vXOXZc+fxAv4WVrQfuZnuuh0vPj444h8Zs/6Mc3CeRXyvLMQ/DBnObguAQHjSIDGsjZ6PJ5/hKHrE+vr68+zTi9U3AQMOJ0oLMuSRU/ntmQZ9Xp95DmWZclm53S90+kYuQAZEMBFlHXTAQPkQvve9+awvQ10u5O/Mzc3h3q9LgB4jQPSdWR6Ge1O4nXix5aWlozytbuOFgCNi6vVasjn82Jpsgcc6EXOnkmBUYIEuzuNJV2JpVLJaCPvJ7msHlvtmuXGqOlGtCuNzyKYXecI1XOB4HTWQT+j1+uJy4/353I5Q1EJhULGOGp3WafTQTwel/7nmHKu0NVHPB3TbOk2EBtIXCPpHTRnHa0DvM7PgXNXrt2SoINLiKXTAQEch0ajIdHItAgxlyatEa1WSwJSdGQxy/B4PFhaWkIsFhPLVTKZlDpM41Lj+9Dr9QwsWK/XM+b7tCwJ/B6pLGgptqfTmiaMWJ6U2NyNTLOstVqtsfQ1OnjEaW1zeucuG5A1jRfws6L/+KmfGs6T7343gTfeaI7MZzcWzsvK8w5s+6wC566jfNbK2RHdlR6PZwnA8bPPdwGsqe+tAtgfV8BgMPi3AP4tAHz1q191R7v9EoqT6d8N2DMQCIhFiovwYDAwOL7oetTla74ihvNzMSfAHzhPJB2LxYyFnqdiXrdvBJFIFB99BPzsz55/V0d4as4jLjaDwUCsDVyEeJ3t1dxM+rrf7xfLG91UvM6NS7POc4MDIIu+5q3iZxRyPmlcG5O+6zHjiY+WA52DtFwuS195PB6x4LANA1s6Hc0bxTaSc4plaK62wWCY51C7uyzLMvqL7PY6albjCJvNpqShYkCBThAfiUTQbDblOaRH4Vxgv2vljeMciUQMywjnGi1OLIMRwOzrXq83Mleo3HDua5cicXZU9PgO6DZqdn3dRiqTtKwBo/xcPp9PrG3a2qpdr7TaaaVC88HRwsk6kE5Dt1H3FSOQ+Xyd+L3f7wslCO9n4I7H4xFrrD1HKgBxG9qjNYn75Ly3z2e3Mglsr7n1tDVMu4+d1jY3rtNp153EiQvus5CNDT/y+R7eey+NdLozMpecsk1chTzvwLbrzDf3vOWzdmv+fwD+wbO//wGAP1af/6+eobwNoPx5x5s5yWVBtW7KWF1dxZ07d4wF686dO4KbIObo+PgYT548wfHxMTY3N+V6Pp/HxsaG0CdYloWNjQ2J+iKdA91Tx8fHSCQSaLXmcHYGfO1r55xHXGCJsaElIp/PY2try7i+tbUlz1hdXcXNmzeNpOA3b9406ri1tSXEs4FAwLg/kUhgeXnZcDMtLy8bHGPpdNpwu2owPr8Tj8clcrVarRo8ZKFQSNJInZycYH9/X6IzKZlMBsViEcfHxygWi0LvwTYsLS2Ju7fZbGJpaUnasLy8jK2tLVHY2+02tra2DPoGKi1Pnz7F3t4enj59apDIplIpJJNJSfzdbDaRTCaFm4ptpIWx2+0abUwkEohGo+KebbfbiEaj0o/5fB7z8/MolUooFAoolUqYn5835srm5qYRkLC5uWngY0g5QYyiZVl45ZVXpJ1OcyUUCqFYLOL+/ft4/Pgx7t+/j2KxKOPAPJbMN1sqlYyk47FYDLlcToJE2u02crmcodiQ04/XaQWyJy7X/Ib6QDU3NyfP4E8ul5N+WF5exq1btwwl+9atW9IHdkucx+MR+hDev729jV6vJ2nXtre3jbkCDCENOzs72N/fx87OjhEMRO404kRp7bsqS4YTzxrrMG1tu+z1q6jj85ZQKIQvf7mP998Pwu8fnUu0cNrvuYiF000dnicf3HXnm3ue8jypNP4fDMH/OY/Hswvg/wDw2wD+yOPx/BqAJwD+52df/zaGNBqfYEil8avPq17XTajUjAsIcAOq1SZrO7DYqQwAeOutt5DP51Gv1xGLxQxAa7VaRSQSwauvvmpQNDDHHjBc7OnCo9tM30/mfZ7kK5UKPvigASCKH/ux4fdu3LiBubk5NBoNRKPREcDqa6+9hlwuJ3XUIf/tdhsrKyuiAEWjUdnc2NbXXnsN6XRa7tcbUTQaxcrKilhFyHPGBYHWmWAwKH2oweT8jt/vx8LCgnyHliz2Q7PZNFx+JM1lP1YqFayuropFg2mReH84HMaXv/xlKZ+fJxIJtNttLC8vIxqNyjik0+kRKo1yuSycV/aci41GA8lkEjdu3DC41qhEBgIBIbrlM3Qmh3a7jXg8js3NTYPfi3VgG958800pn1YeRutmMhm8/vrrck8ymRw55b/55pvGXLArFdPmCnM66j7QOR1pedE5TmmhYR+FQiHcuXPHSGquFe3BYCDWOP1e6nak02mJ8rRbpdrtNrLZrCi642hRpvUBxykej4+1avF9oSLOtGq6fKc8q7QKa3obbUXTbZlG0TPt+jSeNd2P09a2y153Ejd1fN7yjW8E8J//M1AqpXDjhn9kj3DKV3sV8rz54K4z39zzlOcZrfm/TLj0jTHfHQD4355XXa6ruIlCmWT65+lVpx3SzPpuyqBMijBiFORgMJANhvxGXKSn8XORU0m7AUulEv7yL4cuRBVMOBKNZZdxZKMAxDWXzWYlUosuPI3NA85dnaVSySDiZWohmv/1yYyRd0w6TpyNBr8TaEuXAcluNZZJ44j4N/uRi+ju7q5sdqurq7KIklxWt1nfT5dtMpmUrAAMntA8U36/X4C0tHRo7Fy9XjcA0/qEHQqFpF8ZdTsYDAxLLglQqbToOhCXZ8fuaSwWFUJGDpIexS52hcwuk+YKLTxUuDl2xHPR0jAYDMQ9Zbc06HEfl1+VeEPSmfB/XYZ+7+ki5Xzk/5rHjMEJ+h2e1Afa0qB/63GiK5jX7eU74ak49naX4kXwsKRh0eTX9rXvKtI3Oa19TtedFMwXmWIKOE+C/td/HcPrr5vX9FzgXHpeVienfrzu5V9HuS4BAT904pYgcBLuw+3p9TJCULjGjHW7XVG0uFETNG8H5RLTwghGunLeey+ItbVh8l5KsVicaDkDhuSe46whl8Xmtdtt+P1+yQpAqxf7kW1kEAA3XK0s0XJGTjcqKNzgwuGwAOF1P2m6D7/fLwz7rIPGc03Dt5ADjopzOBw26EhYBlNt8RkaE8ZTNaO9qCxR0aKLjXQnjHRkP7EOjKobl4d1HFmwxuW5xTE5bZiTRKc9As6517iBOdUhGo0iEomgVqvJOMfjccPtwvLsQHU9H5vNpuDRdLYD9uM4sX9+WYv7tPI53+j2ZOSnnm/TynDzzhUKBSMwg0TKFxnPq6BYmLS+XlX5z1u+8IUh59kf/AEw5qwAII1uN4Zutwe/3we///pitYLBYd7QFym3bgE29p4XJjPl7AWJmyiUaTw6bk6vl5VgMIhUKiX4JK/Xi7W1NTmFOfHo0JKjeamy2SwePAjiC184f840XicA+OCDD7CzsyPXt7a28NprrwE4Px3aF1E32DwqX/V6faQNpADgZsvyCQDXGxRB1TpN1fz8vFhLiMc6Pj6WTZ0ZCj/i260AACAASURBVNjPdLVRqdVEvMS32OeCTp10dnY20kdLS0tSR9aBgP9+v2+kX/J4hmmyAoHzpOI68qvRaKBQKAiVBZXuTCYjp9p6vT4yjqwDsVCa/0tjoTSOiZYt5obUcpkNMxaLIZFI4NGjRzIOm5ubYlF1qkMoNKT4qFarcj85pSh0QzJTAQBD6SBezj7f6H5yms9u+2Caxd2pfPtc8Xq9SKfTxny7zDun2w+cK+p2HOY0uQr2+2nr68vCru/3A2+/DfzpnwJ/8ReTvhV49jMTJ/kn/2SmnP3Qi9Ppk9xZOgLw7OxMcB9OlgotTpaGSVYpRkjm83mxJDDSi0L2fx1FSAkGg5ifn5fIwKFFKIv9fS9+5VeG3yHbu6ayODw8FDcnucs0Tujg4AC5XE7qmk6nUalUpA16owoEAqI4jbMqkStL97Pm0iKbPa0djGzT1hJyfBEw7/f7DY4vughJM0J3nbY6LSwswOfzGbg5PZarq6tCEWLHBhJLFYlEpA81lop1SCQSElhgxxppC9KkiNJxHGPciImrSyaThkWImLJAIIDFxUUEg0EZh7m5OcPaQksUn68tmPwOf1jGOGvxJCssN9fV1VW5n4oULTq0nvE6LYTEzXU6HXHtkVBWYwc5Hzudztj5yH5jbky/32/0K++nkmhXvKg06MhfABdSGqZh3vRcWVtbM3Jj6udNqyPXJrulWM/ncW7Ti4hlWRLVqjGObg+nTrg6txQOn9aKe5Xy7W8DtuQthtDiTYqVmYyXofXWQrt9PXBtM+XsBYnT6ZNK1ySMjpOlguJ0yqZViguMtkpRIbQ/Y2NjA8D5CdmeaFpbpUKhEBKJhCzSd+8ONwIGAzQaDVSrVZTLZflOKpUSHBDxWvfv3zdY2TXH0rvvvouPPvpI2nD79m3JYhAKhXB0dIR79+7J/bdu3cLCwoK0ERgqqHx+Pp83MEIMAND0DVq4ERGXRlZ4bXUqlUoGbo0AeFo4Tk5OsLOzY+Qo1WN59+5dow2lUkmY72mJsFOiaP4ty7Lw9OnTsVYjbfk6OjqS6wsLC1hcXJTyiB3Tc1jj4hj9qTFner4eHx+PjAPLJ8GrfRw0iallWdjb28PDhw+ljO3tbYNO5cGDB0bGirW1NSOpeKFQEJwmOe6I37IsC0dHRyP3s/xWq4VSqYSDgwOp49LSEubn5w0Fx24JrlQqYgmmxbFQKMhcyeVyxnzb3d01xqHRaBgW8+Pj45EMBHYL3jSZhnnjZ8VicSQrhu5nbXWiMsw60qVrt0rxXuLd2u22caizR+VNk0AgMDZzhw5ImiZOuDo37t9SqYRKpSJzJZlMvhC3ZygEqCluiBsrqxsF8zoooc9TdD8VCtfDhT1Tzl6gTMOGOGF0nCwVgLNp/vj4GPfv35eFqt1u4/79+2KVajQaqFQqiEajRhRho9EQ0ldahTQ2SdeZCgkwVHK+851hPZ5lm4HX6zXY9IFzQlvK7u6uwUO2u7uLV199Va59/PHHkj+z2+3i448/Rj6fx+rqKo6Pj7G7uyuWGJ/Ph93dXSwuLiKfz4/0q73fG42GuCupfNRqtZEIPSqV2lLAMrrdrtEP7Be2iXXkOHg8HqOO+/v7ePDggVgHBoMBHjx4gFwuJ3lF7QojQeWUSqWCR48eGaSxjx49wvLystCAFAoFyXRAHjK6X8l0XyqVRGlIp9OyoTrh4thGksja29jpdHB0dCSBBb1eD0dHR5JGi22gYsZ+ffjwIRYXFxGPx1EsFvHJJ59IYm9aJ5lUnG5/LZrrrdFoYGdnx3gfdnZ2pHzLsrC/vy/5RDmWm89SXAGTGf5pCeaBi1bHQCAgSiIwfK85F3QdadHpdDqiXPL5lUplhD1/krhx13U6HVF62IaTkxM50LiJ5vR6vUgmk0YaLFre6LrXbv719fULbfqMPtZ1ZPSxm3Kc5qvT4bndbuPg4GBEObxObk83Y+1GeXsZsHeXkevqwn7B8LuZhELjU5w48RXZLRXksbIv6uOEnzNaiidZknxy87EsS1L2cLPmJsU6Ea/DDdOeXNvero8+imNuboBnBhMAQDabNRIx6/x4Xq8XiUTC4K7S/9frdXEtVSoVcT3ZMwjQssd+4nUGPOjrDHxgH9AtQH4vniIpHo9HyEPZV9FoVPqBbPx0sZKIlAptpVJBsVhEuVyWn2KxKHQajUZD3FCNRkOY7LmgRKNRyfEYCoUQDoexvr5uWCK4YeoNlRumrgMPCYFAwKhDKBRCNptFJpNBMplEJpNBNpuV8SUuTs8FjYtjf5MHjPNYZ5sAYHDF6c/ZBp/Ph0gkIuB8ujXZBipmbCOtG8BQIc1ms0gmk4hGo0gmk8hms0byd62sUZnTEbrkQqNLNBgMGlGbHBM91vrzdrstPG5MU1SpVKQN9Xp9bOoinamB+TGZmseesWKauOFHZKCEFlLIsD6TrE66LJLncqy1C5zULbT60YLuVlqtFqLRqKydDMyw992k9HZueMrS6bTMl2w2aygklUplrAKrKXBetDiNtZvUSD8M6ZPcvBMvQmaWs2sqTnxFbhiqnUzzxOwcHR2JxWd+fl7KIFmmDjog0SHLoTJDpcTj8RiktnaenQcPIrh9ewBm7CJea2NjQ6wdeoOMRqNYWFgQpTAQCBiYL0YY6hep3W4bxKHE+bB84sgo3GS11Uv3FVPH8H57VB3rFAgEDPyLjvJjQIB22bENxM5opYC5LzlO3MR1BgAdPRePx8UyQ0oKXUeC3XVqIrpVtWgQeFKH0wKSz5MKCwl6KRwjXQcKmel1+TohONusrbS6T1hGNBrF2dmZzKdMJiNlcJ5qRUXPXfZjo9EQ+gh7FCIt2Tq6mP3IOa6vMzsDhWN6dnZmBD5oRbnf7xtZCDTNis6oodugI3fJx8bPNfWHk7iN1uR8Hhet6SZ6eNoz+C7pvtUuRTcSDodFceDcsfeDk8XHDU/ZpMAKZn7QQovvdRGncXCDq3OLvXuZxW2E9GctM8vZNRUqYwRx2vm3ePIjQ3e3253Iok36gH6/b5RBoC+tEPybC1wsFkMwGJTE3Nx0tWIzLtm1/fnEabVaAzx54sNbb51Pu0gkgmQyiU6ng2aziU6ng2QyKQrg3NwclpaWhG0+Go1iaWlJrDSxWAzr6+uGQri+vi51TKVSYxNNk/mebbZbvbiZ0loYiURk86Y1Ubez2+3i7OwMpVJJlAd7cEQqlZIf7XJklgIqu4FAwMhSQKVEn/LtCia51Thn7G6uQCAg0ZnJZBKJRALZbFb6jXk5tYI4GAxkHKrVKg4ODsStXalUcHBwYCR3H5c4nSdsuryofPh8PiQSCRkHBgjYLRl6s02lUkin05ibm0M2m8Xc3BzS6bSUkclksLKyYrDnr6ysGDgknZyevylzc3NYW1sTd0YkEsHa2prMtXA4jGAwKC7ufr9vKC0cK/KaUTmLRCJGurBIJIJKpYJyuYxKpYJIJCJ1TiaTmJ+fNw5D8/PzoijT8qhFWyIpkyxG47Bd46I1aRWlNVZH9vK6rqO+7vQMKnda7AdLJ7H3O8tlP7i1+NASau8/J4nFYmOfPy4N1osSp3Fwo5Tw706ng0ajIevKi1ZcrlLcvBMvQmaWs2sudrC9FnJRcUOflJaDkWF2VwSpAjRgPxwOy+nPsiysrq4imUwarPAa8O+UWLdWq6FSqaDb7eLevQR6PQ/efvu8DrSw0B01GAyMtEDA9AwCjHSMxWJitdJWI8uysLa2ZpyQdRu48RDETEJM1p99ardy6L5ut9sCyGfwAAld2U/j+LNYh2QyiYWFBbEa0mqqLVfr6+uGFVX3AcvXFkp75BoVCc3nRkWD45BMJoXDy+fzGW50Uh3YozXr9bpEt52eno6l+2Af0F1NJT+bzUodOa7RaNRIzK4XTR4wisWilMFnM/BkcXHR6MeFhQVRGmiZ0XlSA4GAEbSQzWbFEsM6sg97vZ4ojCyfUABdR7qt+Tctqlo5oTtV890Bw42CidE10FxbMpgxgHWktc8tjsgN4zojlDnf7EqH0/Vpz3CihnEjlmUhl8shHo8b0ep6bZp030XwVpMkkUhgdXV1JIDmRRLSjpNp4+CEq+N33JKdv8xyHbMQzJSzayo8+Wm3jAYpEpQLQBS3YrEoVhFdhmYb12UQTEylQr+EwPnpSDPP68+phExKrKvr6Pf7cffucKN9/fUagKHLiyeyTCZjRKfZLT+04tlPbMQOESdmJwYNBALiQrH/pkx7MYlfowXS6/UKzo1CHJgWus/oAiXZJQDBr2lsHa0/rAP/ZxuJMxrn2mVb9Djrz/m3rjfbpU/GADA/P2+kJuLntHhpQmJSi/B7dOUBw7lxdnYmgH4C7HUydR08EgqFkM/nRwIO9FhUKhXs7e1JWwFgb28PGxsborhGIhEsLi4aGzYVCLoEtetau8IY3JJKpaQOmvIkHA4LobBWgrVyRcC+foYG7FMhTKVSRuCFtsROm49UiulqJPZQ07bw/dHjaAc3T3LX6TK0BdlOIjvtuptnXDb1kbaUa7ev/nzafVcBAr8O6ZvcyLRxcFJKPguy8+si0/rpRchMObum4nTyc6LacFMG3WMEzZPegVYhp5MV8Vd2egWdtgg4z0/53ntRRCI9LC01QeWMliY+g7gjbY1gEmq9aev0S9MsX6GQO8oRgrMHg4HxgvZ6PWGFHwyGOULHAbCbzSZardZYawhwbgHlWOnNmNYQO+5NW/cIbud1PQ5uTsDBYBD5fB6Hh4eGdU6nCAqFQoLHogWT7aTSb7cUUGmnFbbZbEobtRWWwSN28lVtgXTaKDqdjliUKOQaYz+ybAZ3ENRPy9o0i40GsmslV98fDodHogz1pkzAviaq1f1I64zG/tFd70YYCGCn0mA/WpZlHAQAiLXY7cbjhrh52nXK80x9xPfdPh/dvhNXhaV60emb3IjTOExTSvhOPU+y85mMl5lydk3F6eTnRLXhtoxAIIClpSUjNZEuwykVzLTEunbQ7kcfBbG21kI0eq64+Hw+9Pt9NJtNQ7FhHdrtNo6OjozNxp7qZVod3VCO7O3toVgsivI2NzcnFh/iWObm5gyKD618UfGiksugCSpglmWNTenDBY7WPPsCyH6sVquo1+sGyWy9Xjfa4KTY0MIQi8WkDALeOQ6tVgvtdlvawKhQCpXKwWBg5A5lf4xTMDVIfFpaI8q0jYJ4OiqQOnKTzxinmGgL5TRrhxtrS7/fRy6Xk/ne7/cNK4ITYD8UCokSMclCOM3dxnliH0e9DthxVdpC6Uac+sEtB9jzpF8glMBOgWMnyr1MGqvPg1x2HH5Y+uk6yiwg4JqKE5ifCkM8HhfW+7m5OePE76aMXC4n/F9+vx+5XM41OJblM3qQYHpdPhW0crmGp08juH27bZTP+7RVif8D5y7DVqslGy9dhlp0QIEWbtSMpNJJxwEIAa6+n4nOAZMigmLHx3S7XUQiEeRyOWSzWeRyOUQiEQmO4EZtWZbwW2nFSJ/yz87OxGXEfqRFT9dRUxdQ6vU6SqWS0C7Y+8fr9QqlB91z7C8mbtfBH/V6XSw+7O9UKoVMJiNuV37OfuI8oitEg8SJlSJQfZwLqVgsCsGpXezRncDQ3a1dwKS2YJDMuLnMBOz2AAaOQ6VSwfHxsXD8sY4s0x5UoOciAftkx6dFUtcjnU4jmUyKRcueAaDVaqHb7aLZbKLb7YrSDEAs5PogRZc3rzPHK+vLxPJu+9lpPvJ6vV6XHJl2DjBm1OC6o4NDrkLGgfvHuSpDofFURW5B4NVqFScnJxei+bDXaVxgxmfxDLfjMK2Obvvp8yBuxuqzlJnl7JrLJDB/IDDMgbi3tyf4mq2trbEnmmllkMqCZn47Hsvp5FWr1XBycmKQTfI6OcI8Hg8KhTQ6HR/u3KnAssyIMx00QOubFs2uz81nfX1drk/LkRcOhw3STF4ncWij0cDR0RG+//3vy6n7i1/8ohF95gR+BobKjT1RNCUUGmYpePjwoViltre3hdST9aBblG5e9mM4HMbJyYnBKp/NZrG9vS33O+UnJRXHvXv3xJJw69YtcYNT0dCZGggGpjDwhPPDvuE79dP+/v5INgo9l5zaQAukDmrQgRWWZaFWqxljbQ+MmJanFQAODg7w5MkTmYuDwcCo4+npKT755BN5/o0bNwwXOetoWdbYOgLT2fUtyxrLfK9zvZIYmeOkxyQQCIztA2ZBcNPPwFDR58ZOXkDdD4VCwciZa3/vp+UPvSrRVnlCNC4iTtbmaeuKG3FjtXqez3AzDm7qeB3B8lct15Fod2Y5u6aiwfwkctSnxXq9jsPDQ7GGeL1eHB4eGlYTpzI02zhdIxq87HTyotLDyDq/349isSgnQCo+rVYL7703XDhXVp4aL0G9XkexWJRoQP0/cO7GASBWHO3GmcRWrk+h48L2KZVKBXfv3pU2tdtt3L17V8gkNfg5k8mIRUGfrpgDUrPvM1ckMGTH39vbM6wpe3t7OD4+ljYcHh4KQz83PraBfFyauoBKBzCZlV5bRer1Ot5//305GdZqNbz//vvSz5ZloVwuG6TG5DQDznOMaguNDkpgP2nqF91Px8fHohTRlb2zsyN94KYNnK9erxehUEhSI3G+NhoNPH361CDrffr0fL7pOvAZug7Hx8d4+P+39+4xjmX5fd/3FMniq8hisch6dVX3dk/P7M5grH14IcjZwLItwQ/EsBIofsE2BEOBECCG7CBBIuevPJAgAYLEAYIEUOwE+iNyLMte28gfsmTZEpIAK8valdfyzu6MdkYz3V1vVpPFd5HFkz/I3+lzL3nvOeS9JC+Lvw9Q6C6y7r3nnvv63d/j+/v4Y9zd3WEwGODu7g4ff/yx+r7ZbE7sVqFfc5ReoOe9uYtkqGcuzaPeIcNLnV8v5CDPWq/XU541+r7ZbOLs7Ex52zqdDs7OztQYqZcthZWpl60+z9QtQh9DpVJRY7y5uVHnM53vlBqgz4E75WKa0KoJ8s7qkNd2Grw8azb3FT9spDzmvQ3TcZhGYNZrnh4CURXaZc9ZRDElrJLRpVfP0QNR76fot45Op6MqAPV8L/KmmN68TP3per2eSo7+3vd2EIsN8O67zhY6nU5HeT10kVcK2VFYiEJD9L2NWjk1sM7lco43v3g8rj6nB7HuIaIHs80cAsMH7M7OjjIU3N0dGo0Gms2mYx6lHPZ23NvbQ6PRmNjeqdFoIJfLqardk5MTdawpbEUSI5MEMfVzYVLekZ6fdH9/j3w+70h2pzw9wFx4YUpEp3w89xjJaLDZh/v7e2SzWUcRDOVeAVCeS7c3RTdc/MZg+p6KHXQPjZTSER41JeybCnlInV9/MJAYLC3fbrfVfNF1T8ub7guU2+n2ROv7YLqmTMfKVCgUBjRvFEEggz2sbZjmwITNfWPe2zAdh3UQmLUhqvPAxllEMSViUq6XDuV8uf9WL6vXE/apJJqqEKmdjy4z4PfmRR47dzWQ3mGAlOg/+2wXR0cdpFJvOgzQOgaDgdKXEkKg3W6rdVDiPFVw0u+6YrqfWnkqlVLtnfSHEX2vi7nqqu9umQq/40NaWbe3tyOx3Y5jnunhqc9jp9NRb/kmmQrKG9RvsvqxzmQyiMViyitHHhH9XMhmsygUCiqJnQw82ncyAEqlkvre3canUCig0Wig0+mo9RGmRHTqEOAeI22fzme3Mr6+DySIqhuI9DnwpsoykUg4pDD0bhHxeFzlHlLCPo2BVPH162owGDi+p/HQuUSf6/Pgl7BPievkiSZpFn1fyOiYdE2Rd1v3aunyN6b7Ahl+6XTacc3rx9l0TZnON1OhkH5+zBoqIz1DyjH02sas2HRgMY3P9Pm8t2E6DotM9g9yrOdNVIseOKwZUUyJmMViEaVSCd1uV/2USiVH8jrlDN3e3qLZbKqbup6wH4/HHcr2es4XvXm5x0UPJRJWvbi4wPX1NS4uLpQ0AI3x4OAA/f49PvssjWfPmjg4OHCMsVAo4MmTJ7i6usLp6Smurq7w5MkT9eCnooJqtYparYZqtepQAjf1yCMtKB09J6xcLuP9999XFaKpVArvv/8+yuWy1XEA3nhsaO7IACCPTS6Xw+HhoSMseXh4qMZI/QUpN7Df76u+gzSPR0dHjuWPjo7UPJJivh4aJgV94vj4GE+fPkWlUsHFxQUqlQqePn2q8luofyDNca1WU30FiW9/+9v4xje+gW9961v4xje+gW9/+9vqO7c0hvt3akRPobZut4vj42Ps7e1Z7SPNYyqVws3NDV6/fo2bmxtHxWUmk8Hu7i4qlQouLy9RqVSwu7urjt/e3h729/dV79JarYb9/X01hr29PRwdHak+o7e3tzg6OlLfHx0d4cmTJ6pDQqvVwpMnTxz5XLTfdN5SRw2aByoY0MOOesEAeXkprELaW7SPlG/oVuen9ZvuC6RNdnp6ilevXuH09NShV0Zj8LumTOcbXTN6OoX7mqlWq6hUKri9vUWlUkG1WsU02GwjCDa9N23GpzOpE8M8t2Gao0Ul+wc91vMmqkUP7DlbMhQKmiRi6JeI2e12VZiJltcV5Olv/AQEqerv4OBAfU9VgcCbNy+3sr0u8TAYDHB4eKjGSP0baV+eP3+O29st1OsJfO1rm2OJx1JKZLNZvP/++45t6F6mZDKJR48eOcKS+tvm8fGxygVzdxDo9XrY29tT3itqE0QuayklyuUyfviHf9ih6K6v35QQ2+l0kEgkxuQ2KDyRyWRwcnLiUDOn/DViMBjg9evXDlV4nefPnyOfz6PZbCKbzSqDgY5zsVh07GM+n3ecC/V6HZlMBu+++676m0wmo46VlBLb29t455131Bj143B6eooPP/zQkW/14YcfolQqqdZT5LXRBWB1GQrq5OB1vvrtI62Djq++D/r53G63cXh4qDwFegVvvV6HEALPnj1T8yyEUHNAhgzJiNC5QuvvdruqFVi73UY6nUa5XHbsg0kyhM533bu3ubnpyAPKZrM4OTnxFNIlkWW9CEcX0iWDlJahKlmao8FggHK57Lhm3VXOfpIjdL7p49K3Z7pmwhCANW1D39asHpugIrM245v3NoJ+H5SwjvW8iWLRAxtnPnz0EfDjPw640itCY5jrlcDwMAjEYr0JrtTk6MfJYBBHr1eAlG8e4kJsIJGIg6Iag0Ecg0FpbNlhCA24v8/j7u5Ljn6Y9LAYOpuS6PXKo3wXORrjmwfN/X0a3e4zSKlX9G0gmaTlh/vYbA57Gz5/foWXL+uOaiRKQNeFP3UNLUqs1nXIyuWyI7ekWq2i0+moh2q1WlWet0QigdPTU5yfnzv0u95//321/n6/j+vra8/1A/76W6RtRQ/YwWDgCE8kk0P1ewohJZNJlEoltb7b21vU63VsbW2pMdTrddze3ioPHonwUohC30dK5qewJ+VG6TlhJEVCoUrKOyIDkvKzSJOLfqd5aDabE/uoUj4WGSMUPqZQmZ6TRoK+FNam5uN65ZjXPtI6Li8vVT4XjYny2kj+w53vpeec6SFAXTKEciQBjEmnuMVX6Zi4v6d5IM8XGen6g0gIoUKKVDBAvThpXfRCQsu4hXQLhQJubm6UR7hQKDiEdO/v7x3Xkz7PJBasH2ddLFjHS2CVQrLUMQGAKhrSrxGvaybMHB+/6zKMCrygIrN+41vUNoJ+H4So5nNNYp7zMAtsnPkQjwM7O4DrmTQV9/d9Lb8l7vi8271z5RvcI5kUjr/zXq9Et9t3LT9AMhlThpGUAr3euGWZSMQgBNDvS7Tb7p3rI51OIB4HpByg35cYDAApASGAjQ2JeHwAITbQ70u0Wu6L7x6ZzHB52sdMBnj+vI3f9/vaqFY7qgn2cCz+eREk9UFyBORx0B+wVFGqi8zSA9H9QKacnWazqTxng8FA9dskT4I7UZckD9yeOcC+VyB5ktxhVl1/jaD9oX30e/u0ER6lHCF9nvS8Lcrh0b1Gupc0m80imUw6NOn0fCwyxnSPHeU30f8pWX6SR4n2kcJ5dJPUDRs9d5DWUa/XlfEl5bA1U7lcduTN6flek3C3/vHK0aR/9THqc0QUCgWVIO82CEyeNdMYAH9PsSl/xiQWrOPldQqao2O7fBCv16p4bB46Uc3nmkTU8uLYOPPh6VPg13999uX9NGyurl7j9PR0bJmjo6OxN/NJNBodXFxcjFVS7u/vY2tra/RXG6hW2xPeHpOjdXTx0UffH9M8evvtt7G1lUCj0fLdRqPRxccff4oXL16o5U9OTvDs2TNsbSVwdfUa3//+91VZ/sXFMD9Gr0bS4/30pu9uEUUCqRRy1T1rpopS6kOYz+cdIUe9sqzT6Tg8a9Q8m7DRhTKFgfz6pFJOEhUNUNECGT42VVmm1kgUpjw/P1cP/WfPnqk5TyaTqFQqYxpgpMVG+VYffPCBuoG9++67Kt+q1+vh5uZmTJ+LjDoyRtzXg+5Z071i5PXS2w6R149yJynfiozYVCqFbDY7pqVGhkc+n59oRFMIWc/RnDRGOp/c54Kecwb465iZPGumMQD+nmK6nrzaFuVyOezs7ODm5gZCCFVp7H6R8PM6mbZhwmb5oF6vVfLYPGSCniuLIoo6Z2yczQkvDRvyGoVRqWPTDsfURJl60k3K5zJVa1Jl2snJiSP/Rf9+kl6SLp5qM8ZYLIbt7W3HftqOkQw/fQx69RqFteih6G5s7qW/VSwWJ3rQvMJAk7xG9KCgvpcA1DzqfS9tqrJM5wLpYx0fHzvCu/p+Xl9fO+bh+voaNzc3Ku/KL9/KS5+LjLtut4uNjQ1V+EDnir78JA+nngsVi8XQ7/eVZ4oqTt3Vxfq5op8LyWQSJycnSi4mlUqhXC5b52hSGLhQKKh9oHAxHXfTdQ+Y87GopZN+Tep5byaPkCl/xs/zRmMIug0T885JWyWPzUMnivlcOlH1snK15pzQm37rYTj63LZS5+XLl/je976Hly9fOj7X38BrtdpMJxPJqT1csQAAIABJREFUDOgte0hLjL6nXJtOp+Pw1OjL64KY7uX11jHu323HSI2jqSrS3a6GHpwklKmPUe+TSW/Tjx49cmhnkTQAGYIk2wG8aU9ERpwueOrGqw0LqbpfXFzg/PwcFxcXaLVa6kHR6/VQLBbx+PFjHB0d4fHjx6poAXjz9nl3d4dWq6Waw7vznEjOo9PpjJ0LpBdH0g7UAUDfT9J7o9ZEFJrT5257exulUklVktLn5NUiUdR+v+/Q5/LzZNDyuVxOGfcbGxtK94vY3NzE9vY2+v0+7u/v0e/3sb297citohcfSqR3rwMYeqry+bxD0oXGQtcrnc+U7wW80RirVCrqhxreE3reX61WU/ph7lZbXu3GhjmaTUcFNUlv2MwjUavVcHV1hVqtNva35CUgTTh39RytSz/f/LbtBYn+koivm2RysrApvczo4tekx+jGq+WO7pEn5uGxWUTLn6i1FZoFr2MdBWyvqUXDnrM54W76TQnWumfMVKnzzW9+E9/97nfVG8cXvvAFfOUrX1Hfn52d4ZNPPnHkELldsX7u2kQigUqlgrOzM0f+0edGrY10nS5KzNc/TyQSSt2ePAkHBweO/BaqSpyk2WQ7Rr92NIlEAufn57i8vHTMA+2DPg69+k3/rlKp4NNPP1X78OTJE3z+859XY6nVao717+3tjd34TW1YGo2GQ3hUVzJPJBITQ4LuY+k+DjqfffYZPvzwQ7WP77zzjmN5Svr2CvlRr0S3OKquXeXXVDyVSqHZbOLq6mqiBpnN8nS96C2w9GOVSCRQKpUcVa96RWgqlUKr1UKlUnFojOmVjH7hZdMYqTClWq2qObq7u8Nbb73l+Pvr62tHgUmpVMLTp0+tzhUppepnSctTxTHNAeCfk+bXoqrb7ap+mLR90j2jB6dpHgBzGMjUJssPeplxh+ndHr5qtepoY7W1teUYw7w9NosIhUUx3PbQiKqXlT1nc8L9YAHg0OcicrkcyuXyRI/ZBx98oG6S9XodH3zwgfKgXV5e4tNPP3W0y/n0008db6mmthTkcRPiTbNx8sQRFH7S/yV07TR606Vke9q3nZ0dh86OO7+FtJgo2Zu8eHqbKmpHQy159HY0pJ9DD8Tr62ulpwO8aUVDx4SWIe8W6VXF43EVQiIdK2AYZiTDhjw2qVTKUbloasNCc0yhLVKM171ytVrNERKkZuz6caRm6RsbG47jeHp6io8++kgdLwD46KOPHDmNvV5PGU7A0Mt0dXWl3g4TiQTK5bIyqiixXr9BxeNxh2dMPxdIKDiXyyGfzysJEf3tk8Z+f3/vaPxO6F47+leHPIRUtaj/TmMgY4WutXg8PpXXiQpCOp0OBoOBY4y0z/q1QHOir4vOJTKa9DHQuUJh5ru7O8e5Qp0fqIKXzk/aBhWA1Ot1NJtNVSBBc0D3BTJANzY2HPcFMnr07ZNemY67Ylo/1nrxBhmSXq266Lj6edAm0e/3HWN0VwqTkUnG8s3NDSqVykQP2jw8Noto+RPVtkIPDVNkYlmw52xO9Hq9iW/5tgmp5Gnx+owu2mq1qt5O8/m842I2JcW2220VyqGfXq+nQjH0wHXnMtHyjUYDd3d3jobf1JqG3nJN3sFer4eLi4uxogJKJCcPgl7RqLeKoVCirtKuhxZNLVIoXEBaU+RJoHkmRfzj42P1fafTUa2XbLZBuB9yBIUhSbyW8sX0Nlh+x5Ee3noLHgp5E1QYkc1mHer4NI+k+v/uu+86DC99DCTRQMaJLtFAxoz+QNe7GvR6PXS7XVSrVbWPZLTQ8hSSpO3rc0D4eUPa7TY2NjawtbWljtXGxoaaF9Mbcq/Xw+3traOFlRACe3t7jmvAPYd62NQ0hk6ng2az6XjA6vtPRgh1ziAPH31OwrVkwFLeG+WkkefR7XXSz4VJ23efV37Xval4w9QGy4R+vuudMvR7p+5ZA97kG7ZarYU8VBdRcMBFDYvFLzKxDNg4mxMkZKprp0gprV2lVPJOD0K6GeutahqNhsNgaTQaDs+c6WFEYRr9JtDpdMbCl17Lkx4XPThIgNbdPsZPx6fVainDjNbx4sULHBwcqPYs+gMCgDISaB6kdPY31LscmAovksnkWOI5qbjTusg7SA9LtwfRpt3NpGpKChlSdwLSXHMLi9rII5C4KUEePn2faPyU0zUYDBzzpMtO9Pt9xz7YyHWcn5+rdVAbLir+oIIBEkHd2NhwFAzQPujHmbS43HjpEVElpx7yIyOOlstkMri9vXWI/eoP/FevXqlz8e7uDq9evcLR0ZHyvuiSJDRet8yE7gWl9ejXnPuh2+u9aUcWj8eRzWbVyxKdK3S+kVFCfwvAYZRsbm5ObBWmawjG43ElQE0vDO4wO50jdC3r9y5T8UY2m53Yiks/P/2g0C4Z9t1uF/1+f6wqll4m9ReaRbGIUNgiJEcYc7rDsuCw5pwImpB6eHiI58+fo1qt4vz8HNVqFc+fP8fh4SGAoSzA4eGhuiEnk0kcHh46lOVNY0gmkzg4OHC0gjk4OHB8T/IHFDqgxHJgeBPe2dlxLL+zs2N9EwaGN/pJ7ZXoRk/q+vo2Tk5O1H4dHR3h2bNn6uFCEhF0IzcVXmSzWbz11luOPLq33npL7UMul8Pe3p6j7dDe3p7D2DRtI5lMqvY2hUJBtb/R5Q02Njbw4sULvHr1Ci9evFAJ8TbHsVAo4PHjxyo3r9Fo4PHjx47clEwmg4ODA8d+HBwcqPWa9oEe4q9fv1Y/euiLKkY7nY760TXAyKDR2xbpWm5BW9nQPmazWdU0vl6vO4xgYOgJvbq6wvX1Na6urhze6UkFMVQwA8CR40Y5au5UhUwmozxt9KPnKG5ubqJcLjvO53K57JCRobnY2dlRc6DvAxklVKSjG8j5fB6PHj1yhKcfPXqk7gs0ryRcS+ejXqRjOt+oAb27VRcdy729PTx9+tSxj0+fPh3r+OAFFZPo66diE308wNAwbbfbymB1j3teLKLgwGYbUW+NtApwQcAaEiQhld6233vvPbV8IpHA3d2dejCUSiX1ZpxKpVAqlaaS0kilUtjf31cq6vTw0ROo/eQPMpkMjo+Pkc1mPdsSmaC+frpHhXLUgOFDf39/3yFumk6nHd6QL3/5yygWi0oa4MmTJ4799AutplIpZdTS99lsVs1BPB5HsVhUMg7xeBzb29tj4UlT+LZQKCAWi038npT7dUkTUtu3kV8gD87jx4/VGHW5EfqbZDI5FrbU/8ZvH6iKMZ/PK0+FXoVMPVXJM0TGmm4kUNK27gnVDfOgrWxIA+/JkyeOedDbN93c3Dg8RbrMBRXs0Py7G3rTHG5vbzuOgz6HicSwjVe/31fna7FYdBj/9AJD69AT+smYo24JJKtBx1s3SsjzVSgUHNfL5z73Oezs7Kh53N7enkp2BTDfNzY3N8falelezvfeew+lUsmzFZeJSet3Q3qONE9v9B0XwyIkIvzuG1GVgFg1oloQwMaZAZPL2PQ9JbXqSbs2UCiC9LHceUjA0HCgRsnu0IQNtOz19TV6vR7u7u4cCfv05kAPGmB406Sch2Qyif39fYcWlN6WyGaOqOG1W9hTb6JMDxJdMFVfT5CbJCWwt9ttbG5uKmNU9xiRB4oM0EKhMFEOhI7XpItaryzrdruOylo9+ZyWJS+TfjP2CudRCJKMERIX1T0N9D2FiihE7t4PrxA0eZE6nY46z3Qv0+bmJkqlEq6urpBMJlWVoh5+LpVKuL6+BjA01vTvbeaQ8DqfKJTbaDRU+FZvTWTKDSwWizg8PFSFFNSgns5FqmClfDoK1bnnsN/vO4po9ONA1co0FmqDNM35nMvllMxEIpEYO0fS6TSklMpb5ha59RPB1fE633QhW5rDSV7O7e3tiR0UCK++wvTCRt4wCtnrL32mvLhF4TVHRNCQo16tSSFcvW3bJFYxJ22ZoVlyNERNKJeNMx9MZcym703yCn6kUil1g6ckRT0PibSA9IcAaQG53d5eY6TEdz13hBLkyTt3dXXlkA4oFAqOknrA3iiZVO4ODBte654vd8l80DdU03Ggnpa0fv0NnLwo7kR4976a5tlPviCoIDFtjyoH9Zw7fT/82mSZMC1v8ghRCNAtaaJv30Y2wO9vTB4dm3n2OxcpF0tPxnfnkVJBTbfbVXmKVHijn7em5GOvhz49kOlcpH3U17+IZtcmL2eQeyOlAeiGl7vi0pQXFwWCymCYPGNR9fhMSxTkQqIolMvGmQemC8P0vY1SuB/k1XJ7lGhZMqRo/VQQoLd+Mo2xVquhWq06DKtqtYparYa9vT1VhalDYrA0B26jo9frOebIpKlETFLc1/F7Q/W7uE3HgeZI9zy6QwPujgTuB6ppnk2VZeS1ubi4UA/9/f1967AehQ+pQITymHRPA70dUkUlhetsb0J6/sukNltkZA4GAzWPbo9Qo9EY04uznUObvzF5dGx7oPqdi+QFo310SzxQsrxe4KInywdNPra57oHFNLv28rKGcW80PSyj6u0gwgg5mjxjUZ8DG6IUmg3jmggTNs480FWydU+BXk7utVwymVS97yh5lxJc3aEqL3dut9tFLpfDwcGBapdDxkQymVTK+NVqVS3vDreRd82rbZDb8CL0MNDm5qbqX0hGCe2DyehYRLm7qfG53qmBvtePg+k42oRPaJ5Jk2mSbMqkcJrO1taWSvJOpVJT58/EYjFHWyEvjwwp2nttwy+84Jf/Qt97PVDpXNBz0PRzwXS9AXZhHJNHxyavzWsOer2eyqvT8y717VOyvC7mqyfL24aivMZA170uEEv3A5t9ILxCimGsw+beaCM9Y3pY2ng7lhUuCyPkaOMZW5THZ17z+JBCs2HDxpkHiYS/SraNvEG9XserV6/Uw+bRo0d48uSJ+ls/j0+v18Pp6emY54z0vyj/TA+fdDodx7gSiYSqZNJzZMgrsLW1hVwup4Qsqb0SPbRTqZQSh9W/18NAJqPD9HtQej3/xuemTg2m42hzg0wkEqoPpe6RoXmm7bnPJfJEdbtdnJ2dOToETGrB5DcHUkrl6RwMBsrg0b1OL168cIzRvQ2bMD4lqjebzYkdKfzCcZS3SAYa3fBpDk2q9PSC437ZcB8jP+kW0/embhX6GEmUWB+jKbRqcz6ZxmAKT4eRbhFkHTb3xqBhfGJWj/q8CSPkaOsZm7fHZ57z+FBCs/OApTR8SCQSjnJw/YShC8dLVbjX6+H169cORfbXr1+rh5FJ/bnVauH09FQZV+12G6enpw5VeV00Vn9Au9dJrYFubm4c28zlctjf30ehUEA2m0WhUHCE0+imTw9ECn/qYS0yOvS3aDI63O2qAKdRomPqw+cFeePciud046fKT0qQJ+NMLy7IZDJKxLXf74+F6waDgaPXIRk/BAnx6uugz2gdVBWbzWaxvb2N/f19tQ4qg9crGKk83nYO7u7uHPIKdH4Qt7e3uL29dZzP9BnwxgPZbDZVKJpyp+j7i4sL1Go1NJtN1Go1XFxcjGmfeR3HRCKh9K9o+9ls1nFNUcFCrVZzFB4QNseCxurXi9CrB6qNInsiMewgQC9FkwxDd0jULavid77pnuBer6dy1mgMtDzlmG5sbIwt77cPpm4W+jr0e9s069CNCuogoI+R5kjvNjGtbIo+1knH2rQPQddvQk8DIGYJOVKObz6fx+7u7sJzsebdpUBPt6DzfdVCs/OCPWcekLHjTv61TexttVrIZrOqMTgpnpMiu8mdS42R6QFEDzV64FOT69vbW9zf3yuvmR4aIMNMz/OhtkH6PpCgplvVmx7yJDRLApl6zgMJWpL4KLWTAt4YJV6yAESQPnxUOad7znT9LTJY9DHo+wC80b7S5UL0ZH69hYxbkZ2ORb1ex/X1tRoDhf/0HBqvkCCFZN0eSvfx8JuDWq2GDz/8UIUe3nnnHUeoi7oqnJ2dqXk+PDxU2yBP7fn5ufr+4OBAeWmodZYOtdSiefA7jroQLxn6egUeqfOTuCl1bXB7/0zHIojHxybETS8B5DWjkJJ+TmezWWVQJZPJMd0/v/PN5Am2Wd5vH2xCir1eb6IXkwR7aR1uAVh9HWTck1e/2Ww6joNfEY4tpsiD3z4EXb8NYYUcl5kLtaiwY7/fd0jzMOw584Q8MoBTiZtOHlO/Q3q71fv80VsuYOfOvbu7QzqdRjabRTqddnjFKEx1eXmJSqWCy8tLvHjxwvFG02w2cXFx4fDeXVxcqP2ivpMbGxtIJofyB3rfyVar5XhYDwYDnJ+fqxtWvV5Hq9VCoVDAzs4OCoUCWq2W4y28UCjg8PAQBwcHODw8HLu5Be3DRwn6et9KPYH/9vYWn3zyiePt+ZNPPlEeI137KpVKIR6Pj/XFbDabju/dvQi73S5evXql8rna7TZevXrlOBbVahX1el09NHSxyEQi4VDbJ+PE1rVfrVbx4sULpNNpbG9vI51O48WLF45t3N/fT+zfSeeGfqzpe/1YAxjLa9J/p+PY6/XUj/s4xmIxFItFlEolpR1HkKdYF6nVPcU2xyKo14i8xPpbvF4sc3d3h8vLSyWF0u12cXl5OXZdkqeINP8mjcHrfKP7jjtPk3632YdJuEOK7uPoTlXw6waRSqXQbrfRaDQc/9I66L6in0v6fUUvwiEZoGm9MaZjbdqHoOu3JZmcT2/PRTHvsCPNs95/OUzP3CrDxpkHlHhL4pukU6Z7ZCZBn9NDiJTKG42GeigB5rBoLBbDycmJI4Fa/50qJvV2PORxI0gCQm8kTe2QAH/dJ9qGfjOnm7juvZuE1+eTCNqHj8KUuqQIhTGB4cU/qYkzXfymOaBldH2ySbpWpPIPQKn76/0Q/UJVm5ubSkWezou9vb0xOQwvyGuqh3bJk6HP6fb2tjoHS6UStre3Ha2K/I41eb7cqvC6KOrd3Z3Dc0khZmB4XVCOI3mCqAjCZvv6sfH63XRNmo41FX1UKhVcX1+jUqk4OmJMklAhqZVpxkDb1T0F9Dndd3T0+w715tQNo2az6dgHv3CaTScGOrbuY61r2m1vbzvO9+3tbXW+mubZNEc2mNZh2oeg618XwgrPesHz7A2HNT2gmzCFL+hmY5so3u12lVwAubX1Ki/CKyxKSf/Hx8eO0AEtSz0l8/m8Cn9IKR0PdJLjIINgY2NDVX0Cdj0hKe+MlidjiJYnT5BXwYApNGDbh8+rWsikeE6hZQpLU54Ord9mDtrtNi4vL9XyejsefZ729vYcIWg9ZOcXqkokEtjb28PW1pajCtD27ZSMUbeiv3uM5PEgY8KdH+h3rJNJf+0p6g9arVbV8oVCYSwR3i1oTJ+btq/vg1dhhe7hmpQsbzrW3W4XzWZThevIa0XHhLpHkEEWi8WUZ5yw8VyZClT8Ev5NvTkBczjt+PhYefQm6QqarqlerzdR045CXaZ5DsMbY1PIY9MJwW/9NsUn68A8K0K5IMAb9pz5QDdGCkvqCcqmN4pWq6WacdPDut1uj4VgvMKiZLTc3NyoH92o2N7exsHBgSMJ/ODgANvb22o82WxW5Q2RMXBwcODoG7m7u+t4A97d3VUPeVJM19EV0zc3Nyf2xSQD0SY0YNOHr1qt4uzsDOfn5zg7O3OE65LJoeK5Po96BSKtn/I2ksmkY/0mTwK1BKJ1UhhG9+js7e3hyZMniMViSsbiyZMnahumUBWdS5SvF4/Hp3o7PTo6wttvv43BYKDaYL399tuORtFU5at7GPV8KOrUoM+D3qkBGN6ky+Uydnd3US6XHUY25dHpHiHdUKe8tdPTU1xdXamQJe2j6VyjdfgVVlDBwO3tLZrNptIbs/UaUV4dCeaS95HOYVpevye4vU4mj7jbmKO5cxeo6GEe9/J+vTn1cXiF06rVqpL6oXxM97LpdNrxmX5NkQGthyX14gibXrNBvTGmdZjuCzbr9+srvG7MKzw7b8/cKsOeMw9I32pjY8NTu8qk+0TeHj1nS18/4K+jRqEDemMhXS4KcxwfHzt6Tubz+TGds/39feX9Ia+Zvg+m5GU/xfRer4dyuYxsNjtR98k2mdSvDx9VCTabTTVPbiFb05vd4eGh8l5lMpkxI8BP+4q03vb39ydqvenboHBlOp12bMNWm0rXYpuEn9bQD/zAD6BYLKo5dEsj9Ho9nJycOHqIUo9IWtfu7q5Da83dCYLG7XXjpCbyk7oU1Ot1tNttdX6QzIveP/T58+fI5/O+/Rj9jjV5q4vFosPboXurj4+Psbm56bkNCsfqnjEdk9eJ8DqWpmuG9tHrvpJI+HdiMDGN6KdXkjaN+fb2Vo3BnWhv02s2qDdmnp0Qul3/vsL63y1DRy1qBJmHKKrzRwE2zjxIJBK4vb1VYSBqoKzfjP36ntHFfH19rZZ/9OiR8r6ZdJ30pHA9VKqHVyc1aXbrb11eXo5Vp73zzjtqfZSYS2OedKP2UkzXQ1L62880GmGEV2PkVquF6+trxzyWSiXs7e05xuhlNJBxJ6VUPQcvLi7G9tFL+8pG643mcWdnBzs7O2rcepsVv1AVjZHOBcobm1aDjHLd6Hf9e6oUprww8uzQcaUxdLtd1clh0jx5QeF5vfiE8s9onyqVikOcdWtrS3l2acz9fl/Nk3sfCK9jTRXW7pY+uuGjV2vW63Xc3d0pQ5bCw3r42f1mP8nrpI/RdCwTiQSazabaBo2Zzhvahtd9hcKGfp0Y/LB5YdKTtMk4dd8X/CpGCZPeXBhViKZ1zLoNmid9Duhz22tyXQhjHsI4Fx4abJz5QCES8ny535j8lOlJw0fPeaASfIIeaLoEBEF5Se48JfK2kNu+0WioZdwPUkoQ16GHBXm26vU66vW6GiM1Are5UOjB5SWSSN+7e2tOcxF2Oh1VIUdcXl7i2bNnVsvbSED4QaHbfr/vyB1037AnoUuO+LU+IqOJvKvkraUxmrwdVN2oj9EtMQHA4QWh8KN7nnR5BPrcZp6EENjd3UU8Hldj2N7eVuerlBLtdhuxWEztY7vdHqt+9tpHHb/8w0nQ51TpqHvG3G2DyHOsizbr2zWN0XQsAf/jYLONIJ4Gmxcm0/msV5zSPWua1nSrgE1Ose35+pDheZgfbJx50Gq10O/3sbOzo26y/X5f3WRNSd66oJ4e1qQbH4VNdeNNbwtECa3usKr7puGnD0PGoe5dozd+yg96/fq1w3jp9/uOXCUTNg+KIBo2g8FgYlGDrQYYgInJybaQZ4MShCfp3ZkS0QHzPE0qrNC/8xobnWuvX792dBgol8sOQ7jXM7ceIikQYhrFdtpXd0Nu+py8ti9evFBzdHJyYlX9rM+V31u66WWBKh11Q5/CzRTuT6fTqqLZfU3ajtF0LCd5UafdxqyeBtMcAWbDxLb90ipjmqdF6X9FHZ6H+cHGmQ+6AeA2BkxJ3olEAul0Wl3cVD2nh/wmhWDoezLa6CZPIU536EHH/cZCD1e3V44+7/f7Do0t0nRyN3M24RdSDPpWtbm5iWQyORais5WZIAmIRqPhEKGd1KVgEnojazKw9UbWgDMRXQ8fu/fRa57i8fjEBvN6CHwSulF4dXWligE2NjZwdXWF/f19x9/6tR4iI0E/F9xFMCbIgAbgeBEBoLyPjx49Useh3+8rD52NRyeoV8lU6Wi6Jm2McJtjqcuNkDD0NNsIStCm4mG2X4oyfvPEVYZDeB7mBxtnHpjK9k1J3pQsrHcI2NrackgT+N0ATcnN9Hbup4BNVVPunDP97XZzc1NpclEXAzfU9skvAXoSNEY9by+dTk+l0p3P53FwcIDLy0s1xr29PeTzeavlKUenWq0qg2qaHB1TI2vALhHdDyEE8vm8w8OZTqcdIWy/c4X6aZJHgx7+biOBDASaR3cYvVAoOKQsptWF8vMIbW5uIpvNolarqW4UujYW7aNfN4lerzdR3sDWq0SVjvq5pFc62oTpTUY4HUsyRullQD+WVAU4aR3JZFLlw9FxmGToB8XkefMzTGzuK8DDSJb3micbD+Q6wPMwP9g48yCZ9G89ZEryTib9daEA/xugKbnZVgHbr7qMDEU9BFMsFh1epd/93d8da77+/PlzqzmUUuL29tah6dTr9aYKmyaTSRweHjqq06Yx7rrdLq6vr5XYba/Xw/X1NUqlktU6TI2sAbtEdD9M5xJg9gjR+aUbLXqlIBk2upQGHQ8KfU8K6U2jCwWMJ1DrHiEbLTcv3T9ax6RUAtsXBiqi2d3dVfvoThUIWg1K63K3RNNzlfyqACl/UG8bNyl/cBH4GXCmasx1SJbnKsMhPA/zgY0zH/xOOlOSt2l5fT2TPjeJIFK1GxkdXp6OarWKy8tLdRN1V1Vls1lHIrmeAH1zc6MMM2D4wDk9PR2r3tSbnus3aQqb6g+aWcKmNvPo9ZZeq9VQrVaV0ToYDFCtVlGr1cYkO7y8BDs7O7i5uQEwNLrcXoKgrn2bc4n+zssjVCqVcHV1BWCofVUqlRxGkpRSef9oHhqNBsrlslo3heHJwJxWF8qmOIQ+d3+v6/7R9ieFwP2S6W0gQ5qWn5Qz4zXPtkY4GdeTCn1MVYBkfNJ6AKgWVdM89BbhtfKqxlynJPFZc/8eGjwP4cPGWQAKhYJqKB32m6Ep/EHCiv1+XxUMkOAi0e128eGHHzrU7W9vb/HFL35RhUapJc3GxgZisRju7+8dD4pJrZV0CYaXL1/i6upKPQjK5bJDY6vdbjuKIEiYd5b58Lr4q9XqWEUoHYv7+3vV4kpXntdDfn7LA2ZtKzI8bm5ulIdjUijK74Fp0szzI5FIoFgsIp1Oq+2n02nHuUBheF0vzm3M24zBtA9kXGSz2bHrwW/9dI6QSDHNqW74mEKnhNfLAuWXtdttdc24t+G3j7aVjn76iPS37v3U1+HXosq0j0B4XiuTgef1fVhJ4g8hLMows8LGmQ+mm5yumUR5WbphEuQmaSOCeH5+jhcvXiij4uTkxCF+enNzowwzYHiTJ92zw8OiFoCKAAAf7klEQVRDldviriw7ODhQ453UWkkPh3722WcOA7LdbquSeinlxDfoWao2/eapUqk4Ql26SO3W1hbS6TQuLi6Ucba/v4+trS2r5QGzthUAXF9f49WrV+pYDQaDMR0yk06Zl7aVCTK0KReK+om6DYtOp4PXr197hi1NYzDtw3e+8x3VxH5jYwPVahXvvfee1foTiQSurq6Ul5Ny4HQhXFPoFHBek/RCQ9eklBKVSkV5wHq9HiqVylg3ilmrQWkst7e3Yzpnek9d6pSgpwpQqN+U62rax7C8VtOcr+7vw0gSX4ewKMP4we2bPDC1HiKtH93wubm5Qb1eV8v7Nbs2oYc/qI2L/nmlUkGlUlGVi4lEQn3mXofXuqkZut5mhUKQwJuWPnqrGL2lT61WmzgHtVoNwNBrlc/nVYPmdruNfD4/lqgeBD0HicZAYSDgTbXnzs4OCoUCdnZ2VIK6vrzeNFxf3qYFFYV/pZSIxWKQUuL09FSFQk3rsNmGH7ohn81mkc/nlSFPkLYXeZuoYICKJIKO8fLyUhlmwNDD+sknn+Dy8tJqeRqfjj4+wNzqxXRN0vlerVbVj36+2xwHMhjz+Tx2d3cnGgyUNweMV0pTgQwJFu/s7KhOCbSPfi2qTPtouuZtCHoumI5T0O1PQ7fbRaPRmGlZhlkm7DnzwOSaN2n9mHTQTJjePuntX0/8dufQbG1tIZ/PO6rL8vm88hoBw4coCenS7zp+7Zu8Kvnocwph6VpxnU7Hsz3RrPiFgXq9HnZ3dx0hP3coi7SvyKM0bYjGFP610SkzbcMPUx4TANUz0l3YoJ+vQcZIuY86g8FA5U/ZXE9+4yP88g9N1yTlVlK1LVV6knEWhsYYhTX1QiC9opSS/fU5cu9nkH0Mw2sVxvkaJEk8rLAoe9+YVYaNMw9MNzmT1o9JB43wyqsgI8Krfx01M59k/BHFYlG1jKJw2/7+vjKwKPwGQBlMelsYfT2TKuLy+TxKpRKq1ap6EBUKBSVzQTId5EmTUiKfz1trlNnMkykMRMfLq8UUicrqhRW6vpfNwy6Tyah8Pf2B7B6Dl3ZV0AeqTR5TKpWClNJREKCfr6YxmL7PZrMTQ+BUYGJzPfmNT8fLODJdkxTqpU4FlIc3zbE2YdJKs9UIm3Uf6dgH6coR9Fww7UPQ7duwTkUJzMOEjTMPTPklJq0fm2bXpjc7v/51xWIRjx8/xunpqboJ6yFHYnd3V+VRUaI6IYRAuVwekwux1bbK5XIol8vK+0C6UTQHtvIJgH/yrykPyE/yxHQcqZejbsBSwrnN8nQsSqUSXr58qQoPdCM4mRzqY9VqNbUNklmx3YbfHJnymOhY+Z2vttWWXt/v7e3h6dOnjpyzp0+fqnyuoNeTDaZ1ZDIZpa2m68nZag/aMO/9tF0+SFeOoOdCUMJYPyvXM6sOG2c+mFzzflo/Ju0q05udTf+6t956C7lcTlXHuZuH0zZSqZR6s9a3kUgkJoZgbN9QKXH+8PDQUSVI/9dzTybJJxB+xlcYvQb9vqeWXFtbW8qooNZdNsvTGCmvTd93XbuK+i2SkX13d+co7jBtw2+O9DwmvW9lvV53nJMmbaog8wgA7733Hkqlkuf5GOR6ssVvHSZD3maMNsx7P/2Wt2laHsY+BKkuDmP7RJDKWoaJMmycGTC55r20fsgw0ROap+nNZtO/jh7Y9/f3aLVaY1WEpm2QMeXXPN0PEjYlIU8KFblzT/xu4qYG8vN+AybjlxKG7+/vHaEuwu88aLVaaDQaSCQS6ubfaDSUNhV979YYc2tXeW3DZKDa5DERXuerzX7afO82yKZd3jQ+GzY3Nx0tkXSCaA8SNhIPpnX4jdEGr3kK83rx24cg1cVhbN89BmD6ylqGiTJsnM0ZL8XzoDlt3W4XFxcXjrCpWwLC9u1x1hCIjWK76SZuKpyw2YcgZf9U5FCv15VxmMvlrHtvEjbaVFJKtY1pm697fZ5MJtem16ENNkngs+ZC2a5/EevwYhEeoyjkc4XhUWeYKMNSGnNCVzwnkddpys0pt0QvyddzS1qtlsMwA4aeEv2GZdoGea1IuT8ej08l9wH4K7bblMSbCids9iFo2f/+/j5KpRJ2d3dRKpUc0gX6vniV5FNRgo5elJDJZCClRK1WQ71eV/0lbQ1A0wPXdK6sC2FKMMxr/fMeo+l60ccxq8REGHIdQbEdQzKZnLoggmGiAHvODMyqUm2jeG6Tm7K5uemZw0PVYLr0gBuTKnsQuQ+TYrtNiIUKJ9yeK7dyvVcnhkWU/Zs8HWTg6W2y9vb2HOvZ2tpSHsp4PO6QMzFhE6IJI19rEcxT9X3eIXAK45sary9zjEDw89mEqfrYliDnwqrklHGXA2ZW2DjzIchNzEbxHPAPsehK4PV6HXd3d0oJPJPJIB6P4+rqShln5XJ57K3ZL6xoK/fht4+Af7Nrv+X0/7vDv16q7+5ODPMu+7cN4VxfX+Ps7GxiZa1J+8oGmxBNGPla82TeulPzfmDbhPGJZSeqBz2fTeseDAYO/cRJ7cr8CHourEJOGeusMUHgsKYHQcMPNornfpiUwAEoVfhcLqdU4afZB/Ja6SSTSet8KFMIxTbEQsaM/q/tPIQ1Bi9swiemDgG69hWFuHXtK8IUalrlEM28w3lA8GNN+B0Hm8br1WoVlUoFt7e3qFQqqFaroY9xVsLqIBCLxVAsFlEoFFAsFhGLxabqaBHGuWDTrWFZLOJ8Zx427DnzIGj4wVbx3G95UwcCUxNo0z6Y5D5sCCq/YKOobqpaDToGIJinw9QhwOYtn9oJ6RIPUXrYBGVRulNBk8D9vB0211zUE9XD6iAwSWh32o4Wkz4Ps6J0mbDOGhMUNs48CHoTm0bx3Gt5vwo8U0jRZh/0t3haxzTip0SQG+S8FdVtsCnJ91NcNzWIB/xz/2wqb6PCrDk0i8wRmvVcMBlWNtdcGC2g5kkY4cCwOlqYPl/lfK1VyYljogsbZx4EvYnNWwncZnw2f2PSIQuaN2GTTD9v5figIreAv9wINYh3K/TbSor4Vd5G6aEU5FxYhRwhG11A0z6swkM5qIBs0GNp60le5XytVTjfmWjDxpkPQW9iNhV0fm+HQRXdbf7Gz2gImjxsu/w8FdVNYzA9kG0V1/0axNvMwyTvYJQII5E86rpTNoaVaR9W4aEchoBs0GNp8iSHpaO2TO9b1M93JtqwceZDGDcxvwo6m7fDoIrufn8T1HAxMc3ypv2YtRLRJu8O8JYFmGYfvBrEm9aRyWQmNrGfVgh3noSVQxPVHCHA3rAy7UOUH8phGj5hpRK4761hnWtR8L5F+Xxnog0bZx7Y3sTq9frMHh2/tkX63/nd5GfdPvBGt6nRaKh1bG1tjRkubmxzQxKJBIQQ6HQ6uLu7w+bmpmr1tChMxlcy6S8LEEaYymYMu7u7qufm5uYmdnZ2InVTj1KekGkbQcZgY1jZXHNBH8pB59Fr+TAT1Wcdo21un5tprrkodDFgmCCwceaBzU1M19+ihzrpb9msv91uo9lsqjylbDbrWL+pgi/I9oHhze709BTn5+dqDAcHB3j//fcBBM8NSSaTaDabY7lYh4eH1mMMisn40mUB9GpRd/P2IGEq0xgIktlwt/qKAlHJEwrSqssWP8Mq6DVnwzzzPMPKibMZ46wGYhjXHFdLMqsOG2cemG5iXvpb29vbVh4sKSWq1Srq9bq60fd6PZTLZQDmCr6g2weAZrOpDAZax+3tLZrNprqB+XkSTG+n9Xod7XYb+Xze4R2s1+sLE0s1GV82sgBBw1SmMeitvmgMUXzLD3IuhIFpG/MeQxjXnIl553mGYfjYjDGogRj0mluFwox1YpUrb5cFi9B6QDcxHf0m5qe/ZUO/38fd3Z3jRk9hL8DcOzPo9mkbsVjMIWQbi8XGbrzJ5GTxU5OgZafTURIi1AFgMBhMNUZi1l6AuvGlC8DSGKfpIDCrAKxpDGEIgy6KWc+FMDBtY95jCOOaMxF0H2yWDyreatqGTT9bGyHeINec7TaY+eMnysx4w54zH/ze3lKp1MTelrY6ZgCQTqcRj8eVN8VtEPhV8NnqfwHeby108yJ9LtqPsBpyTzNGP4K20fL7fBHVdWG1mIoyi9iHZc9jWOczML/2TkHblYWxDZuQ4iKKJqJcmLEucO7f7LDnzIDX21sul0M6ncbr16/VTzqdtg5vZDIZlRyv/0uGEVXwkUHmruAj/S/9+0n6X9VqFWdnZzg/P8fZ2ZnjrYX0uciwnKTPZZobv7dT2zH6EbQNis0b9LzbwJjG8BDe8hexD7bzOBgM0Ov1MBgMQm3fFMb5DMy3vVMUjsMivNG2LGIbjDerFBWIGuw5m5Fut4tMJoOjoyOVO5TJZNT/TSSTSezv748l/OsPmt3dXSSTSU9lepP+l43yvJ8+lw3z1CgDwknstXmDnnfJexgtpqJOVLwhfoLBJkxe2qDn8yLaOy37OCzCG82sBg8hKrAslmKcCSF+D0AdwD2AvpTyq0KIIoC/A+BzAH4PwJ+RUr5exvhsIKMhk8k43iLDNBpsbrJ++l+2yvNe+ly2mAybWTXKgPAu7nkbX2GMYRFjnHdi7iL2wWsbtoLBXtiGYDY3NyGEmOkBs6j2Tss8DsDDeNlYFaKcbM+G+uws03P2h6WU19rvPwPgV6WU/60Q4mdGv/+nyxnaG+aVG2KL6SZrujBtlOfX4eKO8j4uijBkJuapMRZ0DLaGT5Dlg87hOnkSovBCZGLV7wtRENo1wYb6bEQprPljAP7Q6P8/B+DXsGTjzKYhdhCjYd59K22U59fh4l6FfZw3YSTmLkJjLMgYbAyfIMuHMYfsSYgOq35fWKVk+1Uw1KPGsgoCJIBfFkL8lhDip0af7UspzwBg9O/eksYGwC4RPUgiedBEd5vlKW+tWCyiUCigWCyqPLYwxrBIZk3sXaV9nCdBE3NN87iIeQ4q0RB0+bCSm+ddgMKYeQj3BU62f9gsy3P2NSnlqRBiD8CvCCG+a7vgyJj7KQB4/PjxvMY399yQRfWt9PM6rYOKNu2ju3XSKu5jkBBM0HCa6VxZxLkUVKKB2pXd3987xIDdy3s15F6nkORD5yHc+/h8fNgsxTiTUp6O/r0UQnwdwA8CuBBCHEopz4QQhwAuPZb9WQA/CwBf/epXpy/HsmTeJ/6i9IwAbwNyHS7uRCKheiESqVQKu7u7SxzV9ARplwMED6ctW2Nsmm34ne+tVmsszK8Xw/g15A4rJLnq4bSHwEO493GI/GGz8LCmECIrhMjR/wH8UQC/A+AfAfiJ0Z/9BIB/uOix6cxbLygKekbz3seoQN0JAKhuBauETQjGRoU7SDjNdK4s4lwKYxu6xIaUUnXkAOxTGXK5HBKJBHK53EwFFa1WC3d3d45/ww6nzdpRY114KPc+DpE/XJbxlNoH8PXRwzIO4OellL8khPhNAL8ghPhJAJ8B+NNLGJuDMKpM/LwZUdAzeuiVNL1eT910vUJZUccUgpkmMThIYm4UtNqCbKPX6yGXyyGZTE4McU9bren2rNmOYZInN5/PhzZf7Jmz46Hc+zjZ/mGycONMSvkxgC9O+LwC4EcWPR4TQU58m5tkFPSMHvLFnUgkJjY2X6XwRRjtcsIiCufKrGOg+dJ10PTPF1GtKaUc82Z1u92ZBHMnsUoVfFEgCuczw0yC2zfNibCqgTg8EYyHEL4w7UNU8mei3uA4aGg2jOo4ynNzt2WbpD84C1zBxzAPg9VKvlkhwvBmcHgiHB5C+CLq7XJWxWMTJDQbhhGcSCQmhtmjUmjEMEw0YOMsIKYOAm4JB9ubpJ44TMsDmOlht+oq2DaY9vEhhC/89sHWAJ3XuRBUnX8agq7DdC54fR+GEZxMJpFOp9FqtVSYPUwDNgqGOsMwwWHjLACmDgKDwQC3t7eqbL9YLFrfJMNKHF4H79s67KMNJqNjnvMUVJ3flmUf61UownkInmKGWXc452xGbBTTY7GYQ50/FotZ546FkTj8EFSwTazDPobBvOfJlK8VxvajcqyTydm6VYS9jmWun2GY+cLGmQGvhHxT4m2v11NVgolEAhsbG5BSWifmhpE4vA7Jweuwj2GwiHny01wKY/t8rBmGWRc4rOmDqUnypFYwYSmmh5E4vA7Jweuwj2GwqHkK2o3CL5+MjzXDMOsCe848sGmSfH9/j5ubG1SrVdzc3OD+/j40xXRKHNY9b5MSh/2kNh6CjIQJ2sfBYIBer4fBYPDg9jEMln0u2GzfJMWx7H14SLBEz+rAx2o9Yc+ZBzaq7BsbG8jn86qacmNjA91uVz0s5t0BwCY5el2Sg/v9vqM1DzPOss8Fv+3bSnEsex8eAssuqmDsicqxWoeK/6jBxpkHtqrsbrVxt3TAvDoALKplT9ShedCPQxT1taLCss8Fr+1Powu47H1YZVZFj46JzrGKioG4bnBY04Ooq7JzcvQQnodwWVYIZdnX07rA18vqEIVjFZUK6XWEPWc+RFmVfZEPsyi7tPmhHh7LfENe9vW0LvD1sjpE4Vgtsm8v44SNMwNhqLLPa1yLeJhF3aXND/VwiEIIhfPJ5g9fL6tDFI5VFAzEdYWNs4AsM/9l3g+zKDywbeCHenCi8obM+WTzh6+X1WHZxyoKBuK6wsYZ40lUHtg28EM9GGG9IQcNgUc5hP6Q4OtldVj2sVq2gbiusHG2wsw75Mgu7fUhjDfkoOdj1EPoDLOuLNtAXEfYOFtRKOR4d3endNYAhBpyZJf2ehHkDTloCHxVQuhMeLCXlGG8YeMs4tTrdXQ6HaRSKeRyOfV5r9dT3xGpVAr5fD7UG10YLm2+CdsRhXma9Q05aAh8lULoTHDYS8ow/rBxFmFevnyJm5sbSCkhhECxWMTx8TEAQEo5pjXT7XbnopAfxKXNN2E7Vn2ewuglG2R5ZnVgLynDmGER2ohSr9eVYQYMjbGbmxvU63UAgBAC2WwWQoiJv0cBFjC04yHMUxi9ZLlv5noQBXFVhok67DmLKJ1OZ8wLJqVEp9NBLpdDIpFQD6/7+3vEYjHEYrFIeRo4VGXHQ5mnefeSZR4G7CVlGDNsnEWUVCqFjY0N3N/fO4yvVCoFYOhpSKfTaLVa2NgYOkCjFhbgm7AdqzRPpry4efWSZaKHVz6sCS40YhgzbJwFZF5J3LlcDul0GqenpxgMBtjY2MDR0ZHjJhh1TwPfhO1YlXla9bw4Jjz88mFtiPq9i2GWDRtnAahWq6hWq0rKolAohPaw6na7yGazODk5wd3dHTY3N5FKpdDtdsd6fEb5xsY3YTuiPk+cxM0QXvmw29vbU3vQ+NxhmMmwcTYj3W4XFxcXDimLbrcb2sOq1+tBSum4gUkpVy4PCeCbsC1RnqeHkhfHBMeUD8swTHC4WnNGWq2WwzADhjctt3dhVlYpD4l5+PD5yBCpVGqsKlwIofJhGYYJDhtnAZh0g5qWbreLRqMxJpvA0gJMlODzkSFyuRyKxaJDxqdYLLLXjGFChMOaM5LJZJDNZtFsNlVSbDabHXuA+WFKsI56HhKzXvD5yBDHx8fY3t6eqVqTYRgzbJzNSDKZxO7urkNnbGtry/qBZZtgHeU8JGb94PORIXK5HBtlDDMn2DgLQKFQQCwWm+ntMawE6yj0Y2RWh3U4X9ZhHxmGediwcRYAPSzZ6/Vwf39vLaURRoI1604x07AO58s67CPDMA8fLgiYkaD9EIMmWD+EfozM4liH82Ud9pFhmPWAPWczEkZYMkiCNetOMdOwDufLOuwj44RD2MxDhY2zGQlL92nWBGvWnWKmYR3Ol3XYR+YNHMJmHjIc1pyRZes+LXv7zGqxDufLOuwjM4RD2MxDhz1nAVi27tOyt88slqAhnHU4X2z2kUNhqw+HsJmHDhtnAVm27tOytw/ww24RhBXCicL5Mm/89jEqoTC+ZoLBIWzmocPGGROIqDzsHjK2gsWMP1GZR75mgkMhbPc88vXAPBTYOGNmJioPu4cOh3DCIQrzyNdMeKxDmJ5ZX7gggJkZv4cdEx4cwgmHKMwjXzPhkkwmp2qbxzCrAhtnzMxE4WEXFt1uF41GI5LVXlyFGA5RmMeHdM0wDDM/OKzJzMxDyftYhRygVQnhRD3Rfdnz+FCuGYZh5gsbZ0wglv2wC8oq5QBFvdJyFYxcYPnzuOrXDMMw84eNMyYwy37YBSEKSeIPgVUycqPAKl8zDMPMH845Y9YazgEKB050ZxiGCQ82zpi1JgpJ4g8BNnIZhmHCg8OazNrDOUDB4UR3hmGY8GDjjGHAOUBhwEYuwzBMOLBxxjBMaLCRyzAMExzOOWMYhmEYhokQbJwxDMMwDMNECDbOGIZhGIZhIgQbZwzDMAzDMBGCjTOGYRiGYZgIwcYZwzAMwzBMhGDjjGEYhmEYJkKwccYwDMMwDBMh2DhjGIZhGIaJEGycMQzDMAzDRAg2zhiGYRiGYSIEG2cMwzAMwzARgo0zhmEYhmGYCMHGGcMwDMMwTIRg44xhGIZhGCZCsHHGMAzDMAwTIdg4YxiGYRiGiRBsnDEMwzAMw0QINs4YhmEYhmEiBBtnDMMwDMMwEUJIKZc9hpkRQlwB+HTZ47CgBOB62YN4APA8hgPPY3B4DsOB5zEceB7DYRHz+ERKWTb90UobZ6uCEOJfSCm/uuxxrDo8j+HA8xgcnsNw4HkMB57HcIjSPHJYk2EYhmEYJkKwccYwDMMwDBMh2DhbDD+77AE8EHgew4HnMTg8h+HA8xgOPI/hEJl55JwzhmEYhmGYCMGeM4ZhGIZhmAjBxlmICCFOhBD/TAjxgRDiXwsh/uro86IQ4leEEB+N/t1Z9lijjBAiJYT450KIfzmax/9i9PlTIcRvjObx7wghNpc91lVACBETQnxLCPF/j37neZwSIcTvCSH+lRDit4UQ/2L0GV/XUyKEKAghflEI8d3RffIP8DxOhxDi86PzkH5uhRB/jedxOoQQ/+Ho+fI7Qoi/PXruRObeyMZZuPQB/EdSyncB/BCA/0AI8R6AnwHwq1LKtwH86uh3xpsugD8ipfwigC8B+ONCiB8C8N8B+B9H8/gawE8ucYyrxF8F8IH2O8/jbPxhKeWXtFJ7vq6n538C8EtSyi8A+CKG5yXP4xRIKb83Og+/BOD3A2gB+Dp4Hq0RQjwC8NMAviqlfB9ADMCfQ4TujWychYiU8kxK+c3R/+sY3ngeAfgxAD83+rOfA/BvL2eEq4Ec0hj9mhj9SAB/BMAvjj7nebRACHEM4N8C8DdHvwvwPIYFX9dTIITIA/iDAP4WAEgp76SUVfA8BuFHAHxfSvkpeB6nJQ4gLYSIA8gAOEOE7o1snM0JIcTnAHwZwG8A2JdSngFDAw7A3vJGthqMQnG/DeASwK8A+D6AqpSyP/qTlxgavow/fwPAfwJgMPp9FzyPsyAB/LIQ4reEED81+oyv6+l4BuAKwP8xCrP/TSFEFjyPQfhzAP726P88j5ZIKV8B+O8BfIahUVYD8FuI0L2RjbM5IITYAvD3APw1KeXtssezikgp70du+2MAPwjg3Ul/tthRrRZCiD8J4FJK+Vv6xxP+lOfRzNeklF8B8CcwTFf4g8se0AoSB/AVAP+rlPLLAJrg0NvMjPKh/hSAv7vssawao3y8HwPwFMARgCyG17abpd0b2TgLGSFEAkPD7P+UUv790ccXQojD0feHGHqDGAtGYY9fwzCHrzByQQNDo+10WeNaEb4G4E8JIX4PwP+Focv+b4DncWqklKejfy8xzO/5QfB1PS0vAbyUUv7G6PdfxNBY43mcjT8B4JtSyovR7zyP9vwogE+klFdSyh6Avw/g30CE7o1snIXIKJ/nbwH4QEr5P2hf/SMAPzH6/08A+IeLHtsqIYQoCyEKo/+nMbyQPgDwzwD8u6M/43k0IKX861LKYynl5zAMf/xTKeVfAM/jVAghskKIHP0fwB8F8Dvg63oqpJTnAF4IIT4/+uhHAHwHPI+z8ufxJqQJ8DxOw2cAfkgIkRk9t+lcjMy9kUVoQ0QI8W8C+H8A/Cu8yfH5zzDMO/sFAI8xPCn+tJTyZimDXAGEED+AYTJmDMMXiF+QUv6XQohnGHqAigC+BeAvSim7yxvp6iCE+EMA/mMp5Z/keZyO0Xx9ffRrHMDPSyn/ayHELvi6ngohxJcwLE7ZBPAxgL+M0TUOnkdrhBAZAC8APJNS1kaf8fk4BSOJpj+LocrCtwD8exjmmEXi3sjGGcMwDMMwTITgsCbDMAzDMEyEYOOMYRiGYRgmQrBxxjAMwzAMEyHYOGMYhmEYhokQbJwxDMMwDMNECDbOGIZhGIZhIgQbZwzDMAzDMBGCjTOGYdYSIcQ/GDUy/9fUzFwI8ZNCiA+FEL8mhPjfhBD/8+jzshDi7wkhfnP087Xljp5hmIcMi9AyDLOWCCGKUsqbUYuw3wTwxwD8fxj2e6wD+KcA/qWU8q8IIX4ewP8ipfx/hRCPAfxjKeW7Sxs8wzAPmrj5TxiGYR4kPy2E+HdG/z8B8JcA/Dq1vBFC/F0A74y+/1EA7w3b8AEA8kKInJSyvsgBMwyzHrBxxjDM2jHqNfqjAP6AlLIlhPg1AN8D4OUN2xj9bXsxI2QYZp3hnDOGYdaRbQCvR4bZFwD8EIAMgB8WQuwIIeIAflz7+18G8Ffol1EDb4ZhmLnAxhnDMOvILwGICyG+DeC/AvANAK8A/DcAfgPAPwHwHQC10d//NICvCiG+LYT4DoB/f/FDZhhmXeCCAIZhmBFCiC0pZWPkOfs6gP9dSvn1ZY+LYZj1gj1nDMMwb/jPhRC/DeB3AHwC4B8seTwMw6wh7DljGIZhGIaJEOw5YxiGYRiGiRBsnDEMwzAMw0QINs4YhmEYhmEiBBtnDMMwDMMwEYKNM4ZhGIZhmAjBxhnDMAzDMEyE+P8BXO2lBxiLt4cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Step function\n",
    "steps = 6\n",
    "\n",
    "# Segment data into 4 segments by age\n",
    "cuts = pd.cut(wage_df['age'], steps)\n",
    "X = np.asarray(pd.get_dummies(cuts))\n",
    "y = np.asarray(wage_df['wage'])\n",
    "\n",
    "# Fit logistic regression model\n",
    "model = sm.OLS(y, X).fit(disp=0)\n",
    "y_hat = model.predict(X)\n",
    "\n",
    "\n",
    "# PLOT\n",
    "# ----------------------------------\n",
    "# Setup axes\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "# Plot datapoints\n",
    "sns.scatterplot(x='age', y='wage',\n",
    "                color='tab:gray',\n",
    "                alpha=0.2,\n",
    "                ax=ax,\n",
    "                data=pd.concat([wage_df['age'], wage_df['wage']], axis=1));\n",
    "\n",
    "# Plot estimated f(x)\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat, ax=ax, color='blue');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.8.2 Splines\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Putting confidence interval calcs into function for convenience.\n",
    "\n",
    "def confidence_interval(X, y, y_hat):\n",
    "    \"\"\"Compute 5% confidence interval for linear regression\"\"\"\n",
    "    # STATS\n",
    "    # ----------------------------------\n",
    "    # Reference: https://stats.stackexchange.com/questions/44838/how-are-the-standard-errors-of-coefficients-calculated-in-a-regression\n",
    "    \n",
    "    # Covariance of coefficient estimates\n",
    "    mse = np.sum(np.square(y_hat - y)) / y.size\n",
    "    cov = mse * np.linalg.inv(X.T @ X)\n",
    "    # ...or alternatively this stat is provided by stats models:\n",
    "    #cov = model.cov_params()\n",
    "    \n",
    "    # Calculate variance of f(x)\n",
    "    var_f = np.diagonal((X @ cov) @ X.T)\n",
    "    # Derive standard error of f(x) from variance\n",
    "    se       = np.sqrt(var_f)\n",
    "    conf_int = 2*se\n",
    "    return conf_int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 505,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fit spline with 6 degrees of freedom\n",
    "\n",
    "# Use patsy to generate entire matrix of basis functions\n",
    "X = pt.dmatrix('bs(age, df=7, degree=3, include_intercept=True)', wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "\n",
    "# Fit logistic regression model\n",
    "model = sm.OLS(y, X).fit(disp=0)\n",
    "y_hat = model.predict(X)\n",
    "conf_int = confidence_interval(X, y, y_hat)\n",
    "\n",
    "# PLOT\n",
    "# ----------------------------------\n",
    "# Setup axes\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "# Plot datapoints\n",
    "sns.scatterplot(x='age', y='wage',\n",
    "                color='tab:gray',\n",
    "                alpha=0.2,\n",
    "                ax=ax,\n",
    "                data=pd.concat([wage_df['age'], wage_df['wage']], axis=1));\n",
    "\n",
    "# Plot estimated f(x)\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat, ax=ax, color='blue');\n",
    "\n",
    "# Plot confidence intervals\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat+conf_int, color='blue');\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat-conf_int, color='blue');\n",
    "# dash confidnece int\n",
    "ax.lines[1].set_linestyle(\"--\")\n",
    "ax.lines[2].set_linestyle(\"--\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 507,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fit a natural spline with seven degrees of freedom\n",
    "\n",
    "# Use patsy to generate entire matrix of basis functions\n",
    "X = pt.dmatrix('cr(age, df=7)', wage_df)     # REVISION NOTE: Something funky happens when df=6\n",
    "y = np.asarray(wage_df['wage'])\n",
    "\n",
    "# Fit logistic regression model\n",
    "model = sm.OLS(y, X).fit(disp=0)\n",
    "y_hat = model.predict(X)\n",
    "conf_int = confidence_interval(X, y, y_hat)\n",
    "\n",
    "# PLOT\n",
    "# ----------------------------------\n",
    "# Setup axes\n",
    "fig, ax = plt.subplots(figsize=(10,10))\n",
    "\n",
    "# Plot datapoints\n",
    "sns.scatterplot(x='age', y='wage',\n",
    "                color='tab:gray',\n",
    "                alpha=0.2,\n",
    "                ax=ax,\n",
    "                data=pd.concat([wage_df['age'], wage_df['wage']], axis=1));\n",
    "\n",
    "# Plot estimated f(x)\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat, ax=ax, color='blue');\n",
    "\n",
    "# Plot confidence intervals\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat+conf_int, color='blue');\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat-conf_int, color='blue');\n",
    "# dash confidnece int\n",
    "ax.lines[1].set_linestyle(\"--\")\n",
    "ax.lines[2].set_linestyle(\"--\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing the above two plots we can see the increased linearity of the natural spline at the boundaries of age. This seems to yield a slight increase in confidence at the extremes of age.\n",
    "\n",
    "The ISLR authors cover smoothing splines in addition to the above. Smoothing splines seem to be poorly supported in python, I could only find `scipy.interpolate.UnivariateSpline`.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 7.8.3 GAMs\n",
    "\n",
    "**ISL Authors:** We now fit a GAM to predict wage using natural spline functions of year and age, treating education as a qualitative predictor, as in (7.16). Since this is just a big linear regression model using an appropriate choice of basis functions, we can simply do this using the lm() function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 517,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Use patsy to generate entire matrix of basis functions\n",
    "X = pt.dmatrix('cr(year, df=4)+cr(age, df=5) + education', wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "\n",
    "# Fit logistic regression model\n",
    "model = sm.OLS(y, X).fit(disp=0)\n",
    "y_hat = model.predict(X)\n",
    "conf_int = confidence_interval(X, y, y_hat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot estimated f(year)\n",
    "sns.lineplot(x=wage_df['year'], y=y_hat);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 529,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot estimated f(age)\n",
    "sns.lineplot(x=wage_df['age'], y=y_hat);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 528,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot estimated f(education)\n",
    "sns.boxplot(x=wage_df['education'], y=y_hat);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Not quite the same as plots achived by ISL authors using R, but gives similar insight.\n",
    "\n",
    "\n",
    "### Comparing GAM configurations with ANOVA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 538,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>df_resid</th>\n",
       "      <th>ssr</th>\n",
       "      <th>df_diff</th>\n",
       "      <th>ss_diff</th>\n",
       "      <th>F</th>\n",
       "      <th>Pr(&gt;F)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2994.0</td>\n",
       "      <td>3.750437e+06</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2993.0</td>\n",
       "      <td>3.732809e+06</td>\n",
       "      <td>1.0</td>\n",
       "      <td>17627.473318</td>\n",
       "      <td>14.129318</td>\n",
       "      <td>0.000174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2991.0</td>\n",
       "      <td>3.731516e+06</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1293.696286</td>\n",
       "      <td>0.518482</td>\n",
       "      <td>0.595477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   df_resid           ssr  df_diff       ss_diff          F    Pr(>F)\n",
       "0    2994.0  3.750437e+06      0.0           NaN        NaN       NaN\n",
       "1    2993.0  3.732809e+06      1.0  17627.473318  14.129318  0.000174\n",
       "2    2991.0  3.731516e+06      2.0   1293.696286   0.518482  0.595477"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Model 1\n",
    "X = pt.dmatrix('cr(age, df=5) + education', wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "model1 = sm.OLS(y, X).fit(disp=0)\n",
    "# Model 2\n",
    "X = pt.dmatrix('year+cr(age, df=5) + education', wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "model2 = sm.OLS(y, X).fit(disp=0)\n",
    "# Model 3\n",
    "X = pt.dmatrix('cr(year, df=4)+cr(age, df=5) + education', wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "model3 = sm.OLS(y, X).fit(disp=0)\n",
    "\n",
    "# Compare models with ANOVA\n",
    "display(sm.stats.anova_lm(model1, model2, model3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `Pr(>F)` of 0.000174 for `Model 2` suggests that it is significantly better than model 1 whereas with a pvalue > 0.05 model 3 does not seem to be significantly better than model 2.  \n",
    "\n",
    "We condlude that inclusion of a linear year feature improves the model, but there is no evidence that a non-linear function of year improves the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 543,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.285</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.284</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   149.3</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 15 Oct 2018</td> <th>  Prob (F-statistic):</th> <td>6.85e-212</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>18:06:12</td>     <th>  Log-Likelihood:    </th> <td> -14946.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>  3000</td>      <th>  AIC:               </th> <td>2.991e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>  2991</td>      <th>  BIC:               </th> <td>2.996e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     8</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "    <td></td>       <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th> <td>   38.3493</td> <td>    1.799</td> <td>   21.317</td> <td> 0.000</td> <td>   34.822</td> <td>   41.877</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>    <td>    5.1741</td> <td>    1.366</td> <td>    3.788</td> <td> 0.000</td> <td>    2.496</td> <td>    7.853</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>    <td>    9.3791</td> <td>    1.242</td> <td>    7.550</td> <td> 0.000</td> <td>    6.943</td> <td>   11.815</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x3</th>    <td>   11.1966</td> <td>    1.294</td> <td>    8.654</td> <td> 0.000</td> <td>    8.660</td> <td>   13.733</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x4</th>    <td>   12.5995</td> <td>    1.519</td> <td>    8.292</td> <td> 0.000</td> <td>    9.620</td> <td>   15.579</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x5</th>    <td>  -22.7665</td> <td>    3.283</td> <td>   -6.935</td> <td> 0.000</td> <td>  -29.203</td> <td>  -16.330</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x6</th>    <td>   15.6588</td> <td>    2.343</td> <td>    6.684</td> <td> 0.000</td> <td>   11.066</td> <td>   20.252</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x7</th>    <td>   24.5870</td> <td>    1.987</td> <td>   12.372</td> <td> 0.000</td> <td>   20.690</td> <td>   28.484</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x8</th>    <td>   19.8888</td> <td>    2.546</td> <td>    7.810</td> <td> 0.000</td> <td>   14.896</td> <td>   24.882</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x9</th>    <td>    0.9812</td> <td>    7.953</td> <td>    0.123</td> <td> 0.902</td> <td>  -14.613</td> <td>   16.576</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x10</th>   <td>   15.2726</td> <td>    0.536</td> <td>   28.479</td> <td> 0.000</td> <td>   14.221</td> <td>   16.324</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>1061.067</td> <th>  Durbin-Watson:     </th> <td>   1.971</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>5669.217</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>           <td> 1.594</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>       <td> 8.933</td>  <th>  Cond. No.          </th> <td>2.69e+16</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The smallest eigenvalue is 4.96e-29. This might indicate that there are<br/>strong multicollinearity problems or that the design matrix is singular."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.285\n",
       "Model:                            OLS   Adj. R-squared:                  0.284\n",
       "Method:                 Least Squares   F-statistic:                     149.3\n",
       "Date:                Mon, 15 Oct 2018   Prob (F-statistic):          6.85e-212\n",
       "Time:                        18:06:12   Log-Likelihood:                -14946.\n",
       "No. Observations:                3000   AIC:                         2.991e+04\n",
       "Df Residuals:                    2991   BIC:                         2.996e+04\n",
       "Df Model:                           8                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const         38.3493      1.799     21.317      0.000      34.822      41.877\n",
       "x1             5.1741      1.366      3.788      0.000       2.496       7.853\n",
       "x2             9.3791      1.242      7.550      0.000       6.943      11.815\n",
       "x3            11.1966      1.294      8.654      0.000       8.660      13.733\n",
       "x4            12.5995      1.519      8.292      0.000       9.620      15.579\n",
       "x5           -22.7665      3.283     -6.935      0.000     -29.203     -16.330\n",
       "x6            15.6588      2.343      6.684      0.000      11.066      20.252\n",
       "x7            24.5870      1.987     12.372      0.000      20.690      28.484\n",
       "x8            19.8888      2.546      7.810      0.000      14.896      24.882\n",
       "x9             0.9812      7.953      0.123      0.902     -14.613      16.576\n",
       "x10           15.2726      0.536     28.479      0.000      14.221      16.324\n",
       "==============================================================================\n",
       "Omnibus:                     1061.067   Durbin-Watson:                   1.971\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             5669.217\n",
       "Skew:                           1.594   Prob(JB):                         0.00\n",
       "Kurtosis:                       8.933   Cond. No.                     2.69e+16\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The smallest eigenvalue is 4.96e-29. This might indicate that there are\n",
       "strong multicollinearity problems or that the design matrix is singular.\n",
       "\"\"\""
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(model3.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Inspecting the pvalues for model 3 features we note a pvalue >0.05 for x9 which correspondes to the 5th degree of freedom for age. \n",
    "\n",
    "**Revision note:** The ISL authors report high pvalues for year features, which would reinforce the above ANOVA result, but we can't see that here. Perhaps the OLS `.summary()` is not equivalent to R's `summary(gam)`\n",
    "\n",
    "### Local Regression GAM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 573,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>            <td>y</td>        <th>  R-squared:         </th> <td>   0.285</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.284</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   239.0</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>             <td>Mon, 15 Oct 2018</td> <th>  Prob (F-statistic):</th> <td>2.74e-215</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                 <td>18:39:17</td>     <th>  Log-Likelihood:    </th> <td> -14946.</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>      <td>  3000</td>      <th>  AIC:               </th> <td>2.990e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>          <td>  2994</td>      <th>  BIC:               </th> <td>2.994e+04</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>              <td>     5</td>      <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "    <td></td>       <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>const</th> <td>  -38.2295</td> <td>    5.977</td> <td>   -6.396</td> <td> 0.000</td> <td>  -49.949</td> <td>  -26.510</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x1</th>    <td>  -14.0090</td> <td>    1.973</td> <td>   -7.102</td> <td> 0.000</td> <td>  -17.877</td> <td>  -10.141</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x2</th>    <td>   -9.7151</td> <td>    1.886</td> <td>   -5.151</td> <td> 0.000</td> <td>  -13.413</td> <td>   -6.017</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x3</th>    <td>   -7.9607</td> <td>    1.917</td> <td>   -4.153</td> <td> 0.000</td> <td>  -11.719</td> <td>   -4.202</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x4</th>    <td>   -6.5447</td> <td>    2.091</td> <td>   -3.129</td> <td> 0.002</td> <td>  -10.645</td> <td>   -2.444</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x5</th>    <td>    1.0823</td> <td>    0.071</td> <td>   15.208</td> <td> 0.000</td> <td>    0.943</td> <td>    1.222</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>x6</th>    <td>   15.3535</td> <td>    0.534</td> <td>   28.746</td> <td> 0.000</td> <td>   14.306</td> <td>   16.401</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td>1056.253</td> <th>  Durbin-Watson:     </th> <td>   1.970</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>5640.862</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>           <td> 1.585</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>       <td> 8.922</td>  <th>  Cond. No.          </th> <td>2.70e+17</td>\n",
       "</tr>\n",
       "</table><br/><br/>Warnings:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.<br/>[2] The smallest eigenvalue is 4.57e-28. This might indicate that there are<br/>strong multicollinearity problems or that the design matrix is singular."
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                            OLS Regression Results                            \n",
       "==============================================================================\n",
       "Dep. Variable:                      y   R-squared:                       0.285\n",
       "Model:                            OLS   Adj. R-squared:                  0.284\n",
       "Method:                 Least Squares   F-statistic:                     239.0\n",
       "Date:                Mon, 15 Oct 2018   Prob (F-statistic):          2.74e-215\n",
       "Time:                        18:39:17   Log-Likelihood:                -14946.\n",
       "No. Observations:                3000   AIC:                         2.990e+04\n",
       "Df Residuals:                    2994   BIC:                         2.994e+04\n",
       "Df Model:                           5                                         \n",
       "Covariance Type:            nonrobust                                         \n",
       "==============================================================================\n",
       "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
       "------------------------------------------------------------------------------\n",
       "const        -38.2295      5.977     -6.396      0.000     -49.949     -26.510\n",
       "x1           -14.0090      1.973     -7.102      0.000     -17.877     -10.141\n",
       "x2            -9.7151      1.886     -5.151      0.000     -13.413      -6.017\n",
       "x3            -7.9607      1.917     -4.153      0.000     -11.719      -4.202\n",
       "x4            -6.5447      2.091     -3.129      0.002     -10.645      -2.444\n",
       "x5             1.0823      0.071     15.208      0.000       0.943       1.222\n",
       "x6            15.3535      0.534     28.746      0.000      14.306      16.401\n",
       "==============================================================================\n",
       "Omnibus:                     1056.253   Durbin-Watson:                   1.970\n",
       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             5640.862\n",
       "Skew:                           1.585   Prob(JB):                         0.00\n",
       "Kurtosis:                       8.922   Cond. No.                     2.70e+17\n",
       "==============================================================================\n",
       "\n",
       "Warnings:\n",
       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
       "[2] The smallest eigenvalue is 4.57e-28. This might indicate that there are\n",
       "strong multicollinearity problems or that the design matrix is singular.\n",
       "\"\"\""
      ]
     },
     "execution_count": 573,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = np.asarray(wage_df['age'])\n",
    "y = np.asarray(wage_df['wage'])\n",
    "# Create lowess feature for age\n",
    "wage_df['age_lowess'] = sm.nonparametric.lowess(y, x, frac=.7, return_sorted=False)\n",
    "\n",
    "# Fit logistic regression model\n",
    "X = pt.dmatrix('cr(year, df=4)+ age_lowess + education', wage_df)\n",
    "y = np.asarray(wage_df['wage'])\n",
    "model = sm.OLS(y, X).fit(disp=0)\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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